ICLR，全称 International Conference on Learning Representations（国际学习表征会议）， 2013 年由位列深度学习三巨头之二的 Yoshua Bengio 和 Yann LeCun 牵头创办。
众所周知，Yoshua Bengio 是蒙特利尔大学教授，深度学习三巨头之一，他领导蒙特利尔大学的人工智能实验室（MILA）进行 AI 技术的学术研究。MILA 是世界上最大的人工智能研究中心之一，与谷歌也有着密切的合作。
而 Yann LeCun 就自不用提，同为深度学习三巨头之一的他现任 Facebook 人工智能研究院（FAIR）院长、纽约大学教授。作为卷积神经网络之父，他为深度学习的发展和创新作出了重要贡献。
因此，这个一年一度的会议虽成立时间不长，但已获得学术界广泛认可，被认为是深度学习的顶级会议。
今年ICLR一共收到了3407篇论文，主题涉及图神经网络，强化学习，计算机视觉等领域。
以下条形图列举了提交论文中出现频率排名前 50 的关键词， 排名靠前的依旧是强化学习，深度学习，图神经网络 以及表征学习。同时相比往年数据，可以看到联邦学习，对比学习 和 Transformer异军突起，与今年的研究热点趋势较为相符。
在名为「国际学习表征会议」的 ICLR 大会中，「表征学习」这一关键词的频率越来越低，仅位于第四位，前三名的位置已被「深度学习」和「强化学习」以及后来居上的「图神经网络」牢牢占据。
昨天ICLR的初审结果出来了，只有三篇论文的得分是8分以上，均分在5.5及以下的有180篇，如果你的分数在5.5分以下，不要慌，好好rebuttal,还是非常有希望的。
1. Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
关键词: ['Drug Discovery', 'Antibody Design', 'Generative Models', 'Graph Generation']
链接: https://openreview.net/forum?id=LI2bhrE_2A
均分: 8
得分: [8, 8, 8]
2. TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting
关键词: ['topological data analysis', 'multipersistence', 'graph convolutional networks', 'supragraph diffusion', 'multivariate time series forecasting']
链接: https://openreview.net/forum?id=wv6g8fWLX2q
均分: 8
得分: [8, 8]
3. A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?"
关键词: ['Graph Neural Networks', 'Graph Isomorphism', 'Weisfeiler Lehman']
链接: https://openreview.net/forum?id=uxgg9o7bI_3
均分: 8
得分: [8, 8, 8, 8]
4. GNN-LM: Language Modeling based on Global Contexts via GNN
关键词: []
链接: https://openreview.net/forum?id=BS49l-B5Bql
均分: 7.67
得分: [5, 8, 10]
5. Data-Efficient Graph Grammar Learning for Molecular Generation
关键词: ['molecular generation', 'graph grammar', 'data efficient generative model']
链接: https://openreview.net/forum?id=l4IHywGq6a
均分: 7.5
得分: [6, 8, 8, 8]
6. Coordination Among Neural Modules Through a Shared Global Workspace
关键词: ['slot based recurrent architectures', 'attention', 'transformers', 'latent bottleneck.']
链接: https://openreview.net/forum?id=XzTtHjgPDsT
均分: 7.5
得分: [6, 6, 8, 10]
7. Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
关键词: ['spatio-temporal', 'finite', 'elements', 'forecasting', 'continuous', 'partial', 'differential', 'equation', 'PDE', 'graph', 'gnn', 'time-series']
链接: https://openreview.net/forum?id=HFmAukZ-k-2
均分: 7.5
得分: [6, 8, 8, 8]
8. Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions
关键词: ['Graph Neural Networks', 'Computational Physics', 'Self-Generative Learning', 'Machine Learning for Science']
链接: https://openreview.net/forum?id=apv504XsysP
均分: 7.33
得分: [6, 8, 8]
9. Neural Structured Prediction for Inductive Node Classification
关键词: []
链接: https://openreview.net/forum?id=YWNAX0caEjI
均分: 7.25
得分: [5, 6, 8, 10]
10. Differentiable Scaffolding Tree for Molecule Optimization
关键词: []
链接: https://openreview.net/forum?id=w_drCosT76
均分: 7.25
得分: [5, 6, 8, 10]
11. Graph-based Nearest Neighbor Search in Hyperbolic Spaces
关键词: ['similarity search', 'nearest neighbor search', 'hyperbolic space', 'graph-based nearest neighbor search']
链接: https://openreview.net/forum?id=USIgIY6TNDe
均分: 7
得分: [6, 8]
12. Convergent Boosted Smoothing for Modeling GraphData with Tabular Node Features
关键词: ['Graph Neural Network', 'Boosting', 'Node classification', 'Tabular Data']
链接: https://openreview.net/forum?id=nHpzE7DqAnG
均分: 7
得分: [6, 6, 8, 8]
13. Revisiting Over-smoothing in BERT from the Perspective of Graph
关键词: ['BERT', 'Over-smoothing', 'Transformer']
链接: https://openreview.net/forum?id=dUV91uaXm3
均分: 7
得分: [5, 8, 8]
14. Expressiveness and Approximation Properties of Graph Neural Networks
关键词: ['Graph Neural Networks', 'Colour Refinement', 'Weisfeiler-Leman', 'Separation Power', 'Universality']
链接: https://openreview.net/forum?id=wIzUeM3TAU
均分: 7
得分: [6, 6, 8, 8]
15. Understanding over-squashing and bottlenecks on graphs via curvature
关键词: ['Graph neural networks', 'Geometric deep learning', 'Differential geometry', 'Ricci curvature']
链接: https://openreview.net/forum?id=7UmjRGzp-A
均分: 7
得分: [6, 6, 8, 8]
16. End-to-End Learning of Probabilistic Hierarchies on Graphs
关键词: ['hierarchical clustering', 'graphs', 'networks', 'graph mining', 'network mining', 'graph custering']
链接: https://openreview.net/forum?id=g2LCQwG7Of
均分: 7
得分: [6, 8]
17. Convergent Graph Solvers
关键词: ['Graph', 'Graph Neural Network', 'Fixed point', 'Implicit model', 'Implicit function theorem', 'Convergent']
链接: https://openreview.net/forum?id=ItkxLQU01lD
均分: 7
得分: [6, 6, 8, 8]
18. Granger causal inference on DAGs identifies genomic loci regulating transcription
关键词: ['Granger causality', 'causal inference', 'graph neural networks', 'gene regulation', 'single-cell genomics', 'chromatin accessibility', 'directed acyclic graphs', 'single-cell multimodal']
链接: https://openreview.net/forum?id=nZOUYEN6Wvy
均分: 6.75
得分: [5, 6, 8, 8]
19. Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation
关键词: ['Graph Neural Networks', 'Distillation', 'Node Classification', 'Model Inference Acceleration']
链接: https://openreview.net/forum?id=4p6_5HBWPCw
均分: 6.75
得分: [3, 8, 8, 8]
20. Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
关键词: ['graph neural networks', 'missing data', 'time series analysis', 'time series imputation']
链接: https://openreview.net/forum?id=kOu3-S3wJ7
均分: 6.75
得分: [5, 6, 8, 8]
21. Deconfounding to Explanation Evaluation in Graph Neural Networks
关键词: ['Graph Neural Networks', 'Explanation Evaluation', 'Out-of-distribution', 'front-door Adjustment']
链接: https://openreview.net/forum?id=OKhFyMVz6t7
均分: 6.75
得分: [5, 6, 8, 8]
22. Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis
关键词: ['Graph neural network', 'Self-supervision', 'Interpretability', 'Visualization', 'Neuroscience', 'Electroencephalography', 'Seizure', 'Epilepsy', 'Time Series']
链接: https://openreview.net/forum?id=k9bx1EfHI_-
均分: 6.67
得分: [6, 6, 8]
23. Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
关键词: ['Content-style decomposed representation', 'Zero-shot voice conversion', 'Style transfer', 'Transformer', 'Unsupervised learning']
链接: https://openreview.net/forum?id=AXWygMvuT6Q
均分: 6.67
得分: [6, 6, 8]
24. Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
关键词: ['Graph Neural Network', 'Spectral Graph Theory', 'System Stability']
链接: https://openreview.net/forum?id=e95i1IHcWj
均分: 6.6
得分: [5, 6, 6, 8, 8]
25. Counterfactual Graph Learning for Link Prediction
关键词: ['Link Prediction', 'Graph Representation Learning', 'Graph Neural Networks.']
链接: https://openreview.net/forum?id=YxQiIOLKgEf
均分: 6.5
得分: [5, 5, 6, 10]
26. Geometric and Physical Quantities improve E(3) Equivariant Message Passing
关键词: ['equivariant graph neural networks', 'steerable message passing', 'non-linear convolutions', 'molecular modeling', 'covariant information']
链接: https://openreview.net/forum?id=_xwr8gOBeV1
均分: 6.33
得分: [5, 5, 6, 6, 6, 10]
27. Neural Models for Output-Space Invariance in Combinatorial Problems
关键词: ['neural reasoning', 'output space invariance']
链接: https://openreview.net/forum?id=ibrUkC-pbis
均分: 6.33
得分: [5, 6, 8]
28. Discovering Invariant Rationales for Graph Neural Networks
关键词: ['Interpretability', 'Graph Neural Networks', 'Causal Discovery', 'Invariant Learning']
链接: https://openreview.net/forum?id=hGXij5rfiHw
均分: 6.33
得分: [5, 6, 8]
29. GNN is a Counter? Revisiting GNN for Question Answering
关键词: ['GNN', 'Question Answering', 'QA', 'Reasoning', 'ML']
链接: https://openreview.net/forum?id=hzmQ4wOnSb
均分: 6.25
得分: [5, 6, 6, 8]
30. Context-Aware Sparse Deep Coordination Graphs
关键词: ['Multi-agent reinforcement learning', 'Sparse coordination graphs', 'Deep coordination graphs']
链接: https://openreview.net/forum?id=wQfgfb8VKTn
均分: 6.25
得分: [5, 6, 6, 8]
31. Semi-relaxed Gromov-Wasserstein divergence and applications on graphs
关键词: ['Optimal Transport', 'Graph Learning']
链接: https://openreview.net/forum?id=RShaMexjc-x
均分: 6.25
得分: [5, 6, 6, 8]
32. Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
关键词: ['Graph Neural Networks', 'Adversarial Attacks', 'Node Classification']
链接: https://openreview.net/forum?id=wkMG8cdvh7-
均分: 6.25
得分: [5, 6, 6, 8]
33. Equivariant Subgraph Aggregation Networks
关键词: ['Graph Neural Networks', 'Expressive power', 'Equivariance', 'Weisfeiler-Leman']
链接: https://openreview.net/forum?id=dFbKQaRk15w
均分: 6.25
得分: [3, 6, 8, 8]
34. PF-GNN: Differentiable particle filtering based approximation of universal graph representations
关键词: ['Graph Neural Networks', 'Graph representation learning', 'Expressive GNN']
链接: https://openreview.net/forum?id=oh4TirnfSem
均分: 6.25
得分: [5, 6, 6, 8]
35. Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction
关键词: ['graph representation learning', 'unsupervised learning', 'autoencoder', 'wasserstein distance']
链接: https://openreview.net/forum?id=ATUh28lnSuW
均分: 6.25
得分: [5, 6, 6, 8]
36. You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
关键词: ['Hypergraph neural networks', 'multiset functions', 'deep sets', 'set transformer']
链接: https://openreview.net/forum?id=hpBTIv2uy_E
均分: 6.25
得分: [5, 6, 6, 8]
37. Automated Self-Supervised Learning for Graphs
关键词: ['Self-supervised learning', 'Graph neural networks', 'AutoML']
链接: https://openreview.net/forum?id=rFbR4Fv-D6-
均分: 6
得分: [5, 5, 6, 8]
38. Triangle and Four Cycle Counting with Predictions in Graph Streams
关键词: ['learning augmented', 'streaming', 'graph streaming', 'data driven', 'cycle counting', 'triangle counting']
链接: https://openreview.net/forum?id=8in_5gN9I0
均分: 6
得分: [5, 5, 8]
39. Query Embedding on Hyper-Relational Knowledge Graphs
关键词: ['Query embedding', 'Approximate Query Answering', 'Graph Neural Network', 'Hyper-relational Graph', 'Knowledge Graph']
链接: https://openreview.net/forum?id=4rLw09TgRw9
均分: 6
得分: [5, 5, 6, 6, 8]
40. DEGREE: Decomposition Based Explanation for Graph Neural Networks
关键词: ['XAI', 'GNN']
链接: https://openreview.net/forum?id=Ve0Wth3ptT_
均分: 6
得分: [5, 5, 6, 8]
41. Frame Averaging for Invariant and Equivariant Network Design
关键词: ['Invariant and equivariant neural network', 'expressive power']
链接: https://openreview.net/forum?id=zIUyj55nXR
均分: 6
得分: [5, 5, 8]
42. Space-Time Graph Neural Networks
关键词: ['ST-GNNs', 'GNNs', 'stability', 'graph-time perturbations']
链接: https://openreview.net/forum?id=XJiajt89Omg
均分: 6
得分: [5, 5, 8]
43. Large-Scale Representation Learning on Graphs via Bootstrapping
关键词: []
链接: https://openreview.net/forum?id=0UXT6PpRpW
均分: 6
得分: [5, 5, 6, 8]
44. Predicting Physics in Mesh-reduced Space with Temporal Attention
关键词: ['fluid dynamics', 'graph neural network', 'attention neural network']
链接: https://openreview.net/forum?id=XctLdNfCmP
均分: 6
得分: [5, 5, 6, 8]
45. Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
关键词: ['reinforcement learning', 'graph neural network', 'molecule generation', 'drug discovery', 'curiosity-driven policy']
链接: https://openreview.net/forum?id=kavTY__jxp
均分: 6
得分: [5, 5, 8]
46. Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond
关键词: ['Graph Neural Networks', 'GNNs', 'Deep Learning', 'Molecular Property Prediction']
链接: https://openreview.net/forum?id=1wVvweK3oIb
均分: 6
得分: [5, 5, 6, 8]
47. GreaseLM: Graph REASoning Enhanced Language Models
关键词: ['language models', 'commonsense', 'question answering', 'knowledge graphs', 'KG augmentation']
链接: https://openreview.net/forum?id=41e9o6cQPj
均分: 6
得分: [6, 6, 6, 6]
48. Is Heterophily A Real Nightmare For Graph Neural Networks on Performing Node Classification?
关键词: ['Graph Neural Networks', 'Heterophily', 'Filterbank', 'Adaptive Channel Mixing']
链接: https://openreview.net/forum?id=LBv-JtAmm4P
均分: 6
得分: [3, 5, 8, 8]
49.  Hypergraph Convolutional Networks via Equivalency  between  Hypergraphs and Undirected Graphs
关键词: ['hypergraph learning', 'equivalency of hypergraph', 'graph neural networks']
链接: https://openreview.net/forum?id=zFyCvjXof60
均分: 6
得分: [5, 5, 6, 8]
50. How Attentive are Graph Attention Networks? 
关键词: ['graph attention networks', 'dynamic attention', 'GAT', 'GNN']
链接: https://openreview.net/forum?id=F72ximsx7C1
均分: 6
得分: [5, 5, 6, 8]
51. What胁袀鈩 Wrong with Deep Learning in Tree Search for Combinatorial Optimization
关键词: ['deep learning', 'combinatorial optimization', 'maximum independent set']
链接: https://openreview.net/forum?id=mk0HzdqY7i1
均分: 6
得分: [5, 5, 6, 8]
52. Learning Graphon Mean Field Games and Approximate Nash Equilibria
关键词: ['Mean Field Games', 'Reinforcement Learning', 'Multi Agent Systems']
链接: https://openreview.net/forum?id=0sgntlpKDOz
均分: 6
得分: [5, 5, 6, 8]
53. Chemical-Reaction-Aware Molecule Representation Learning
关键词: ['molecule representation learning', 'graph neural networks', 'chemical reaction']
链接: https://openreview.net/forum?id=6sh3pIzKS-
均分: 6
得分: [6, 6, 6, 6]
54. Inductive Relation Prediction Using Analogy Subgraph Embeddings
关键词: ['Link Prediction', 'Relation Modelling', 'Heterogeneous Graphs', 'Knowledge Graphs']
链接: https://openreview.net/forum?id=PTRo58zPt3P
均分: 5.8
得分: [5, 6, 6, 6, 6]
55. Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective
关键词: ['Trainablity', 'Graph Neural Tangent Kernel', 'Critical DropEdge']
链接: https://openreview.net/forum?id=tT9t_ZctZRL
均分: 5.8
得分: [5, 5, 5, 6, 8]
56. PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication
关键词: ['Graph Neural Networks', 'Graph Convolutional Networks', 'Distributed Training', 'Asynchronous Training', 'Full-Graph Training', 'Large-Graph Training', 'Stale Features']
链接: https://openreview.net/forum?id=kSwqMH0zn1F
均分: 5.75
得分: [5, 6, 6, 6]
57. Neural Link Prediction with Walk Pooling
关键词: ['Graph neural network', 'Link prediction', 'Random walk', 'Graph topology.']
链接: https://openreview.net/forum?id=CCu6RcUMwK0
均分: 5.75
得分: [3, 6, 6, 8]
58. Factored World Models for Zero-Shot Generalization in Robotic Manipulation
关键词: ['reinforcement learning', 'world models', 'robotic manipulation', 'zero-shot transfer']
链接: https://openreview.net/forum?id=GOr80bgf52v
均分: 5.75
得分: [5, 5, 5, 8]
59. Topological Graph Neural Networks
关键词: ['topology', 'persistent homology', 'gnn', 'graph neural networks', 'graph classification', 'node classification', 'filtrations', 'topological data analysis', 'tda']
链接: https://openreview.net/forum?id=oxxUMeFwEHd
均分: 5.75
得分: [5, 6, 6, 6]
60. Spanning Tree-based Graph Generation for Molecules
关键词: ['molecule generation', 'tree generation', 'graph generation', 'deep generative model', 'de novo drug design']
链接: https://openreview.net/forum?id=w60btE_8T2m
均分: 5.75
得分: [3, 6, 6, 8]
61. A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease 
关键词: ['Imaging-genetics', 'Hierarchical Graph Convolution', 'Gene Ontology', 'Bayesian Feature Selection', 'Schizophrenia']
链接: https://openreview.net/forum?id=Lwr8We4MIxn
均分: 5.75
得分: [3, 6, 6, 8]
62. Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
关键词: ['Graph Neural Networks', 'Atomic Simulations', 'Computational Chemistry']
链接: https://openreview.net/forum?id=0jP2n0YFmKG
均分: 5.75
得分: [5, 5, 5, 8]
63. Adaptive Filters for Low-Latency and Memory-Efficient Graph Neural Networks
关键词: ['graph neural networks', 'efficiency', 'latency reduction', 'memory reduction', 'architecture design', 'benchmarking', 'hardware-aware']
链接: https://openreview.net/forum?id=hl9ePdHO4_s
均分: 5.75
得分: [3, 6, 6, 8]
64. Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
关键词: ['graph generative models', 'model evaluation']
链接: https://openreview.net/forum?id=tBtoZYKd9n
均分: 5.75
得分: [5, 6, 6, 6]
65. The Infinite Contextual Graph Markov Model
关键词: ['graph neurals networks', 'graph classification', 'probabilistic models']
链接: https://openreview.net/forum?id=Rupm2vTg1pe
均分: 5.75
得分: [5, 5, 5, 8]
66. Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations
关键词: ['geometric deep learning', 'equivariance', 'molecules']
链接: https://openreview.net/forum?id=hm2tNDdgaFK
均分: 5.75
得分: [5, 6, 6, 6]
67. NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
关键词: ['knowledge graphs', 'graph representation learning', 'tokenization', 'link prediction', 'node classification']
链接: https://openreview.net/forum?id=xMJWUKJnFSw
均分: 5.75
得分: [3, 6, 6, 8]
68. TaCE: Time-aware Convolutional Embedding Learning for Temporal Knowledge Graph Completion
关键词: ['Representation learning', 'temporal knowledge graph completion', 'knowledge graph embedding', 'convolutional neural networks']
链接: https://openreview.net/forum?id=hopfHdHZGYe
均分: 5.75
得分: [5, 6, 6, 6]
69. EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression
关键词: ['graph neural networks', 'scalable GNN training', 'quantization', 'random projection']
链接: https://openreview.net/forum?id=vkaMaq95_rX
均分: 5.67
得分: [3, 6, 8]
70. Spherical Message Passing for 3D Molecular Graphs
关键词: []
链接: https://openreview.net/forum?id=givsRXsOt9r
均分: 5.67
得分: [5, 6, 6]
71. Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
关键词: ['Self-supervised learning', 'Graph Neural Networks', 'Extreme multi-label classification']
链接: https://openreview.net/forum?id=KJggliHbs8
均分: 5.67
得分: [5, 6, 6]
72. Graphon based Clustering and Testing of Networks: Algorithms and Theory
关键词: ['Clustering', 'Networks', 'Graphs', 'Two-sample testing', 'Graphon']
链接: https://openreview.net/forum?id=sTNHCrIKDQc
均分: 5.67
得分: [3, 6, 8]
73. Message Function Search for Hyper-relational Knowledge Graph
关键词: ['Graph Neural Network', 'Hyper-relational Knowledge Graph', 'Knowledge Base Embedding']
链接: https://openreview.net/forum?id=CQzlxFVcmw1
均分: 5.67
得分: [5, 6, 6]
74. Learning to Schedule Learning rate with Graph Neural Networks
关键词: ['learning rate scheduling', 'graph neural networks']
链接: https://openreview.net/forum?id=k7efTb0un9z
均分: 5.6
得分: [3, 5, 6, 6, 8]
75. Counting Substructures with Higher-Order Graph Neural Networks:  Possibility and Impossibility Results
关键词: ['graph neural networks', 'expressive power', 'complexity']
链接: https://openreview.net/forum?id=-RAFyM-YPj
均分: 5.6
得分: [5, 5, 6, 6, 6]
76. Graph Neural Networks with Learnable Structural and Positional Representations
关键词: ['graph neural networks', 'graph representation learning', 'transformers', 'positional encoding']
链接: https://openreview.net/forum?id=wTTjnvGphYj
均分: 5.6
得分: [5, 5, 5, 5, 8]
77. From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
关键词: ['Graph Neural Networks', 'Expressiveness', 'Message Passing Neural Network', 'Graph Classification']
链接: https://openreview.net/forum?id=Mspk_WYKoEH
均分: 5.5
得分: [5, 5, 6, 6]
78. LEARNING GUARANTEES FOR GRAPH CONVOLUTIONAL NETWORKS ON THE STOCHASTIC BLOCK MODEL
关键词: []
链接: https://openreview.net/forum?id=dpXL6lz4mOQ
均分: 5.5
得分: [3, 5, 6, 8]
79. Learning Symmetric Representations for Equivariant World Models
关键词: ['equivariant', 'symmetry', 'contrastive loss', 'world models', 'transition', 'representation theory', 'generalization']
链接: https://openreview.net/forum?id=D637S6zBRLD
均分: 5.5
得分: [5, 5, 6, 6]
80. Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks
关键词: ['Graph Neural Networks', 'GNN', 'GCN', 'Distributed Training']
链接: https://openreview.net/forum?id=FndDxSz3LxQ
均分: 5.5
得分: [5, 5, 6, 6]
81. Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels
关键词: ['Active Learning', 'Graph', 'Information Gain']
链接: https://openreview.net/forum?id=USC0-nvGPK
均分: 5.5
得分: [3, 5, 6, 8]
82. Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning
关键词: ['Multitask Reinforcement Learning', 'Modular Reinforcement Learning', 'Transfer Learning', 'Transformer', 'Structural Embedding']
链接: https://openreview.net/forum?id=fy_XRVHqly
均分: 5.5
得分: [5, 5, 6, 6]
83. Online graph nets
关键词: ['continuous-time dynamic graphs', 'temporal graph neural networks', 'graph neural networks']
链接: https://openreview.net/forum?id=0IqFsR9wJvI
均分: 5.5
得分: [5, 5, 6, 6]
84. Fair Node Representation Learning via Adaptive Data Augmentation
关键词: ['Fair node representations', 'fairness-aware graph data augmentations', 'unsupervised node representation learning', 'graph contrastive learning']
链接: https://openreview.net/forum?id=4pijrj4H_B
均分: 5.5
得分: [3, 5, 6, 8]
85. On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs with Missing Node Features
关键词: ['graph neural networks', 'missing features', 'graphs', 'feature propagation']
链接: https://openreview.net/forum?id=tx4qfdJSFvG
均分: 5.5
得分: [3, 5, 6, 8]
86. $G^3$: Representation Learning and Generation for Geometric Graphs
关键词: ['Deep Learning', 'Generative Models', 'Graph Neural Networks']
链接: https://openreview.net/forum?id=Q42O1Qaho5N
均分: 5.5
得分: [3, 5, 6, 8]
87. GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification
关键词: ['Deep learning', 'Node classification', 'Class imbalance', 'Data Augmentation']
链接: https://openreview.net/forum?id=MXEl7i-iru
均分: 5.5
得分: [3, 5, 6, 8]
88. Revisiting Virtual Nodes in Graph Neural Networks for Link Prediction
关键词: ['graph neural network', 'link prediction', 'virtual node']
链接: https://openreview.net/forum?id=ETiaOyNwJW
均分: 5.5
得分: [5, 5, 6, 6]
89. Graph-Enhanced Exploration for Goal-oriented Reinforcement Learning
关键词: ['Deep Reinforcement Learning', 'Goal-oriented Reinforcement Learning', 'Graph Structure', 'Exploration']
链接: https://openreview.net/forum?id=rlYiXFdSy70
均分: 5.5
得分: [5, 5, 6, 6]
90. Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
关键词: ['Anomaly Detection', 'Normalizing Flow', 'DAG', 'Multiple Time Series']
链接: https://openreview.net/forum?id=45L_dgP48Vd
均分: 5.5
得分: [3, 5, 6, 8]
91. GRAND++: Graph Neural Diffusion with A Source Term
关键词: ['graph deep learning', 'low-labeling rates', 'diffusion on graphs', 'random walk']
链接: https://openreview.net/forum?id=EMxu-dzvJk
均分: 5.4
得分: [3, 5, 5, 6, 8]
92. Why Propagate Alone? Parallel Use of Labels and Features on Graphs
关键词: []
链接: https://openreview.net/forum?id=VTNjxbFRKly
均分: 5.4
得分: [3, 5, 5, 6, 8]
93. Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
关键词: ['Traveling Salesman Problem', 'Graph Neural Network', 'Metaheuristic', 'Guided Local Search', 'Hybrid']
链接: https://openreview.net/forum?id=ar92oEosBIg
均分: 5.4
得分: [3, 3, 5, 8, 8]
94. Understanding Knowledge Integration in Language Models with Graph Convolutions
关键词: ['knowledge integration', 'graph convolution', 'language model', 'interpretation', 'knowledge graph', 'mutual information']
链接: https://openreview.net/forum?id=3XD_rnM97s
均分: 5.4
得分: [3, 5, 5, 6, 8]
95. Graph-Relational Domain Adaptation
关键词: ['Graphs', 'Network Topology', 'Transfer Learning', 'Domain Adaptation', 'Adversarial Learning']
链接: https://openreview.net/forum?id=kcwyXtt7yDJ
均分: 5.33
得分: [5, 5, 6]
96. Graph-Guided Network for Irregularly Sampled Multivariate Time Series
关键词: ['time seres', 'irregular time series', 'graph neural networks', 'attention mechanism', 'time series classification', 'multivariate time series', 'representation learning', 'embeddings']
链接: https://openreview.net/forum?id=Kwm8I7dU-l5
均分: 5.33
得分: [3, 5, 8]
97. Input Convex Graph Neural Networks: An Application to Optimal Control and Design Optimization
关键词: ['Graph', 'Graph Neural Network', 'Convex', 'Input-convex', 'Implicit function theorem.']
链接: https://openreview.net/forum?id=S2pNPZM-w-f
均分: 5.33
得分: [5, 5, 6]
98. Graph Kernel Neural Networks
关键词: ['graph neural network', 'graph kernel', 'deep learning']
链接: https://openreview.net/forum?id=5fbUEUTZEn7
均分: 5.33
得分: [5, 5, 6]
99. NAFS: A Simple yet Tough-to-Beat Baseline for Graph Representation Learning
关键词: ['Feature Smoothing', 'Graph Neural Network', 'Graph Representation Learning']
链接: https://openreview.net/forum?id=dHJtoaE3yRP
均分: 5.33
得分: [3, 5, 8]
100. Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms
关键词: ['Graph neural networks sentiment analysis node-embedding algorithm  diagnostic prediction task']
链接: https://openreview.net/forum?id=OtEDS2NWhqa
均分: 5.33
得分: [3, 5, 8]
101. Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents
关键词: ['Deep reinforcement learning', 'intrinsic motivations', 'autonomous learning', 'social learning']
链接: https://openreview.net/forum?id=9u5E8AFudRx
均分: 5.33
得分: [3, 5, 8]
102. $p$-Laplacian Based Graph Neural Networks
关键词: ['Graph neural networks', '$p$-Laplacian', 'semi-supervised learning', 'node prediction']
链接: https://openreview.net/forum?id=i8d2kdxii1L
均分: 5.33
得分: [3, 5, 8]
103. Graph Condensation for Graph Neural Networks
关键词: ['data-efficient learning', 'graph generation', 'graph neural networks']
链接: https://openreview.net/forum?id=WLEx3Jo4QaB
均分: 5.25
得分: [5, 5, 5, 6]
104. Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
关键词: ['Graph Neural Networks', 'Cold Start', 'Knowledge Distillation']
链接: https://openreview.net/forum?id=1ugNpm7W6E
均分: 5.25
得分: [5, 5, 5, 6]
105. Convolutional Neural Network Dynamics: A Graph Perspective
关键词: ['neural network dynamics', 'time-evolving graphs', 'interpretation of neural networks', 'performance prediction']
链接: https://openreview.net/forum?id=EMLJ_mTz_z
均分: 5.25
得分: [3, 5, 5, 8]
106. Connecting Graph Convolution and Graph PCA
关键词: ['Graph Convolutional Network', 'graph regularization', 'GNN initialization', 'graph-based PCA']
链接: https://openreview.net/forum?id=SVey0ddzC4
均分: 5.25
得分: [5, 5, 5, 6]
107. Is Homophily a Necessity for Graph Neural Networks?
关键词: []
链接: https://openreview.net/forum?id=ucASPPD9GKN
均分: 5.25
得分: [5, 5, 5, 6]
108. Intrusion-Free Graph Mixup
关键词: ['graph augmentation', 'Mixup', 'graph classification', 'graph neural networks']
链接: https://openreview.net/forum?id=ybsh6zEzIKA
均分: 5.25
得分: [3, 5, 5, 8]
109. Explainable GNN-Based Models over Knowledge Graphs
关键词: []
链接: https://openreview.net/forum?id=CrCvGNHAIrz
均分: 5.25
得分: [5, 5, 5, 6]
110. Neural Methods for Logical Reasoning over Knowledge Graphs
关键词: ['Knowledge Graphs', 'Knowledge Graph Reasoning', 'Graph Mining', 'Data Mining', 'Machine Learning', 'Artificial Intelligence', 'Deep Learning']
链接: https://openreview.net/forum?id=tgcAoUVHRIB
均分: 5.25
得分: [3, 5, 5, 8]
111. GLASS: GNN with Labeling Tricks for Subgraph Representation Learning
关键词: []
链接: https://openreview.net/forum?id=XLxhEjKNbXj
均分: 5.25
得分: [5, 5, 5, 6]
112. Explaining Knowledge Graph Embedding via Latent Rule Learning
关键词: ['knowledge graph embedding', 'explainable AI', 'rule learning']
链接: https://openreview.net/forum?id=RCyHECZIUFb
均分: 5.25
得分: [5, 5, 5, 6]
113. Defending Graph Neural Networks via Tensor-Based Robust Graph Aggregation
关键词: ['Graph Neural Networks', 'Adversarial Attacks', 'Robustness', 'Tensor Decomposition']
链接: https://openreview.net/forum?id=BrfHcL-99sy
均分: 5.25
得分: [3, 6, 6, 6]
114. GIR Framework: Learning Graph Positional Embeddings with Anchor Indication and Path Encoding
关键词: ['Graph neural networks', 'Anchor based GNN', 'Node representation learning']
链接: https://openreview.net/forum?id=jT5vnpqlrSN
均分: 5.25
得分: [5, 5, 5, 6]
115. Task-Agnostic Graph Neural Explanations
关键词: ['Explainability', 'interpretability', 'graph neural networks', 'self-supervised learning']
链接: https://openreview.net/forum?id=NQrx8EYMboO
均分: 5.25
得分: [5, 5, 5, 6]
116. Self-Supervised Representation Learning via Latent Graph Prediction
关键词: ['Self-supervised learning', 'representation learning', 'graph neural networks']
链接: https://openreview.net/forum?id=Da3ZcbjRWy
均分: 5.25
得分: [5, 5, 5, 6]
117. Few-shot graph link prediction with domain adaptation
关键词: ['link prediction', 'few-shot learning', 'domain adaptation']
链接: https://openreview.net/forum?id=yrD7B9N_54F
均分: 5.25
得分: [3, 5, 5, 8]
118. Breaking Down Questions for Outside-Knowledge VQA
关键词: ['knowledge-based VQA']
链接: https://openreview.net/forum?id=ILYX-vQnwe_
均分: 5.25
得分: [5, 5, 5, 6]
119. Weakly Supervised Graph Clustering
关键词: []
链接: https://openreview.net/forum?id=gaYko_Y2_l
均分: 5.2
得分: [3, 5, 6, 6, 6]
120. Rethinking Temperature in Graph Contrastive Learning
关键词: ['self-supervised learning', 'graph contrastive learning', 'uniformity']
链接: https://openreview.net/forum?id=vnOHGQY4FP1
均分: 5
得分: [3, 5, 6, 6]
121. Pre-training Molecular Graph Representation with 3D Geometry
关键词: ['Pre-training', 'SSL', 'Molecule', '3D Geometry', '2D representation']
链接: https://openreview.net/forum?id=xQUe1pOKPam
均分: 5
得分: [3, 5, 6, 6]
122. Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks
关键词: ['Graph neural networks', 'Adversarial weight perturbation']
链接: https://openreview.net/forum?id=hUr6K4D9f7P
均分: 5
得分: [3, 5, 6, 6]
123. Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
关键词: ['graph convolutional neural networks', 'node classification', 'heterophily', 'oversmoothing']
链接: https://openreview.net/forum?id=R2aCiGQ9Qc
均分: 5
得分: [3, 5, 6, 6]
124. An Analysis of Attentive Walk-Aggregating Graph Neural Networks
关键词: ['graph neural network', 'graph representation learning', 'attention weighting', 'walk aggregation', 'representation power', 'learning guarantees', 'interpretability']
链接: https://openreview.net/forum?id=m2MiIwuI0m
均分: 5
得分: [5, 5, 5, 5]
125. NeuroSED: Learning Subgraph Similarity via Graph Neural Networks
关键词: ['Subgraph similarity', 'graph neural networks']
链接: https://openreview.net/forum?id=b30Yre8MzuN
均分: 5
得分: [3, 5, 6, 6]
126. Constrained Graph Mechanics Networks
关键词: []
链接: https://openreview.net/forum?id=SHbhHHfePhP
均分: 5
得分: [3, 5, 6, 6]
127. Equivariant Heterogeneous Graph Networks
关键词: ['Heterogeneous Graphs', 'Graph Neural Networks', 'GNN', 'Equivariance']
链接: https://openreview.net/forum?id=fTYeefgXReA
均分: 5
得分: [5, 5, 5, 5]
128. Inductive Lottery Ticket Learning for Graph Neural Networks
关键词: ['Lottery Ticket Hypothesis', 'Graph Neural Networks', 'Neural Network Pruning']
链接: https://openreview.net/forum?id=Bel1Do_eZC
均分: 5
得分: [3, 6, 6]
129. BCDR: Betweenness Centrality-based Distance Resampling for Graph Shortest Distance Embedding
关键词: ['graph representation learning', 'graph shortest path distance', 'shortest distance query', 'graph embedding', 'random walk']
链接: https://openreview.net/forum?id=mk8AzPcd3x
均分: 5
得分: [3, 3, 6, 8]
130. 3D Pre-training improves GNNs for Molecular Property Prediction
关键词: ['graph neural networks', 'deep learning', 'self-supervised learning', 'molecular representation']
链接: https://openreview.net/forum?id=LNmNWds-q-J
均分: 5
得分: [3, 3, 6, 8]
131. Top-N: Equivariant Set and Graph Generation without Exchangeability
关键词: ['set generation', 'graph generation', 'permutation equivariance', 'generative models', 'Top-N']
链接: https://openreview.net/forum?id=-Gk_IPJWvk
均分: 5
得分: [3, 6, 6]
132. Symmetry-driven graph neural networks
关键词: []
链接: https://openreview.net/forum?id=nRCS3BfynGQ
均分: 5
得分: [3, 5, 6, 6]
133. Multiresolution Equivariant Graph Variational Autoencoder
关键词: ['group equivariant model', 'graph neural network', 'hierarchical generative model', 'variational autoencoder', 'graph generation', 'link prediction', 'unsupervised representation learning']
链接: https://openreview.net/forum?id=qyzTEWWM0Pp
均分: 4.83
得分: [3, 5, 5, 5, 5, 6]
134. Count-GNN: Graph Neural Networks for Subgraph Isomorphism Counting
关键词: []
链接: https://openreview.net/forum?id=_MO2xzOZXv
均分: 4.8
得分: [3, 3, 5, 5, 8]
135. KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
关键词: ['open-domain question answering', 'knowledge graph', 'pre-trained language model']
链接: https://openreview.net/forum?id=6CrZzjpjWdk
均分: 4.75
得分: [3, 5, 5, 6]
136. On Evaluation Metrics for Graph Generative Models
关键词: []
链接: https://openreview.net/forum?id=EnwCZixjSh
均分: 4.75
得分: [3, 5, 5, 6]
137. Revisiting Layer-wise Sampling in Fast Training for Graph Convolutional Networks
关键词: ['GCN', 'efficient GCN', 'sampling']
链接: https://openreview.net/forum?id=RRj7DcsPjT
均分: 4.75
得分: [3, 5, 5, 6]
138. Explainable Automatic Hypothesis Generation via High-order Graph Walks
关键词: ['Hypothesis generation', 'Edge embedding', 'Reinforcement learning', 'Graph walk', 'Link prediction']
链接: https://openreview.net/forum?id=_J-pKtWbDKc
均分: 4.75
得分: [3, 5, 5, 6]
139. Boundary Graph Neural Networks for 3D Simulations
关键词: ['Simulation', 'Graph Neural Network', 'Boundary Conditions', 'Granular Flow', 'Physics Application']
链接: https://openreview.net/forum?id=ePI0bPbrih
均分: 4.75
得分: [3, 5, 5, 6]
140. GRAPHIX: A Pre-trained Graph Edit Model for Automated Program Repair
关键词: ['Program Repair', 'Graph Neural Networks', 'Pre-training']
链接: https://openreview.net/forum?id=uB12zutkXJR
均分: 4.75
得分: [3, 5, 5, 6]
141. Learning Graph Structure from Convolutional Mixtures
关键词: ['Graph Neural Network', 'Graph Signal Processing', 'Graph Learning', 'Topology Inference', 'Algorithm Unrolling']
链接: https://openreview.net/forum?id=d7-GwtDWNNJ
均分: 4.75
得分: [3, 5, 5, 6]
142. Dynamic Graph Representation Learning via Graph Transformer Networks
关键词: ['dynamic graphs', 'graph neural networks', 'graph representation learning', 'transformers', 'graph transformers']
链接: https://openreview.net/forum?id=8rR8bIZnzMA
均分: 4.75
得分: [3, 5, 5, 6]
143. PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
关键词: ['DAG encoder', 'graph neural network', 'Transformer']
链接: https://openreview.net/forum?id=vPK-G5HbnWg
均分: 4.75
得分: [3, 5, 5, 6]
144. DeeperGCN: All You Need to Train Deeper GCNs
关键词: ['Graph Neural Networks', 'Graph Representation Learning']
链接: https://openreview.net/forum?id=qOcf6HgSmRH
均分: 4.75
得分: [3, 5, 5, 6]
145. Coarformer: Transformer for large graph via graph coarsening
关键词: ['Graph Neural Networks', 'Transformer', 'Graph Coarsening']
链接: https://openreview.net/forum?id=fkjO_FKVzw
均分: 4.75
得分: [3, 5, 5, 6]
146. Molecular Graph Representation Learning via Heterogeneous Motif Graph Construction
关键词: ['Molecular Graph Representation', 'Graph Neural Networks', 'Heterogeneous']
链接: https://openreview.net/forum?id=8gX3bY78aCb
均分: 4.75
得分: [3, 5, 5, 6]
147. SONG: Self-Organizing Neural Graphs
关键词: ['decision graphs', 'self-organizing models', 'neural networks', 'Markov processes', 'decision trees', 'interpretability']
链接: https://openreview.net/forum?id=p36db089HBP
均分: 4.75
得分: [3, 5, 5, 6]
148. Graph Attention Multi-layer Perceptron
关键词: ['Graph Neural Network', 'Attention', 'Scalability']
链接: https://openreview.net/forum?id=2PSrjVtj6gU
均分: 4.75
得分: [3, 5, 5, 6]
149. Towards Distribution Shift of Node-Level Prediction on Graphs: An Invariance Perspective
关键词: ['Representation Learning on Graphs', 'Out-of-Distribution Generalization', 'Domain Shift', 'Graph Structure Learning', 'Invariant Models']
链接: https://openreview.net/forum?id=FQOC5u-1egI
均分: 4.75
得分: [3, 5, 5, 6]
150. FlowX: Towards Explainable Graph Neural Networks via Message Flows
关键词: ['Deep learning', 'Graph Neural Networks', 'Explainability']
链接: https://openreview.net/forum?id=mRF387I4Wl
均分: 4.75
得分: [3, 5, 5, 6]
151. Time-aware Relational Graph Attention Network for Temporal Knowledge Graph Embeddings
关键词: ['Temporal Attention', 'Temporal Knowledge Graph Reasoning', 'Knowledge Graph Completion', 'Entity Alignment']
链接: https://openreview.net/forum?id=ShtJLsF7cbb
均分: 4.75
得分: [3, 5, 5, 6]
152. Self-Organized Polynomial-time Coordination Graphs
关键词: ['Multi-Agent Reinforcement Learning', 'Coordination Graphs', 'Polynomial-time DCOP']
链接: https://openreview.net/forum?id=T_8wHvOkEi9
均分: 4.67
得分: [3, 3, 8]
153. GARNET: A Spectral Approach to Robust and Scalable Graph Neural Networks
关键词: ['graph neural networks', 'adversarial robustness', 'low-rank approximation', 'spectral graph theory']
链接: https://openreview.net/forum?id=UeRmyymo3kb
均分: 4.67
得分: [3, 5, 6]
154. Graph Barlow Twins: A self-supervised representation learning framework for graphs
关键词: ['graph representation learning', 'self-supervised learning']
链接: https://openreview.net/forum?id=MRGFutr0p5e
均分: 4.67
得分: [3, 5, 6]
155. Trading Quality for Efficiency of Graph Partitioning: An Inductive Method across Graphs
关键词: ['Graph Partitioning', 'Community Detection', 'Inductive Graph Embedding']
链接: https://openreview.net/forum?id=e6MWIbNeW1
均分: 4.67
得分: [3, 3, 5, 5, 6, 6]
156. Towards Feature Overcorrelation in Deeper Graph Neural Networks
关键词: ['Graph Neural Networks', 'Feature Overcorrelation']
链接: https://openreview.net/forum?id=Mi9xQBeZxY5
均分: 4.6
得分: [3, 5, 5, 5, 5]
157. Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning
关键词: ['Interpretable Reinforcement Learning', 'Generalization', 'Robustness']
链接: https://openreview.net/forum?id=1kqWZlj4QYJ
均分: 4.5
得分: [3, 5, 5, 5]
158. Implicit vs Unfolded Graph Neural Networks
关键词: []
链接: https://openreview.net/forum?id=-7usTUgt7N
均分: 4.5
得分: [3, 5, 5, 5]
159. Interrogating Paradigms in Self-supervised Graph Representation Learning
关键词: ['Graph Neural Networks', 'Contrastive Learning', 'Self-supervised Learning']
链接: https://openreview.net/forum?id=yRYtnKAZqxU
均分: 4.5
得分: [3, 5, 5, 5]
160. LPRules: Rule Induction in Knowledge Graphs Using Linear Programming
关键词: []
链接: https://openreview.net/forum?id=7QDPaL-Yl8U
均分: 4.5
得分: [1, 3, 6, 8]
161. Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets
关键词: ['set-to-hypergraph']
链接: https://openreview.net/forum?id=7Z7u2z1Ornl
均分: 4.5
得分: [3, 5, 5, 5]
162. Federated Learning with Heterogeneous Architectures using Graph HyperNetworks
关键词: ['federated learning', 'graph neural networks', 'hypernetworks']
链接: https://openreview.net/forum?id=7x_47XJULn
均分: 4.5
得分: [3, 3, 6, 6]
163. Local Augmentation for Graph Neural Networks
关键词: ['Local Augmentation', 'Graph Neural Networks']
链接: https://openreview.net/forum?id=3FvF1db-bKT
均分: 4.5
得分: [3, 5, 5, 5]
164. Learning Graph Representations for Influence Maximization
关键词: ['influence maximization', 'graph neural networks']
链接: https://openreview.net/forum?id=UJ9_wmscwk
均分: 4.5
得分: [3, 3, 6, 6]
165. Interpreting Graph Neural Networks via Unrevealed Causal Learning
关键词: ['Model Explainability', 'Graph Neural Networks', 'Structural Casual Model']
链接: https://openreview.net/forum?id=JzFyNx7-SyS
均分: 4.5
得分: [3, 3, 6, 6]
166. Geometric Random Walk Graph Neural Networks via Implicit Layers
关键词: []
链接: https://openreview.net/forum?id=eV5d4I3eso
均分: 4.5
得分: [3, 5, 5, 5]
167. SpecTRA: Spectral Transformer for Graph Representation Learning
关键词: ['Graph Representation Learning', 'Transformer', 'GNNs']
链接: https://openreview.net/forum?id=HmFBdvBkUUY
均分: 4.5
得分: [3, 5, 5, 5]
168. Deep Representations for Time-varying Brain Datasets
关键词: ['fMRI', 'graph neural networks', 'feature attribution']
链接: https://openreview.net/forum?id=IEsx-jwFk3g
均分: 4.5
得分: [3, 5, 5, 5]
169. A General Unified Graph Neural Network Framework Against Adversarial Attacks
关键词: ['Graph Neural Networks', 'general unified framework', 'against adversarial attacks', 'robust model', 'graph reconstruction operation']
链接: https://openreview.net/forum?id=bpUHBc9HCU8
均分: 4.5
得分: [3, 5, 5, 5]
170. Bandits for Black-box Attacks to Graph Neural Networks with Structure Perturbation
关键词: ['Graph neural networks', 'Black-box attacks', 'Structure perturbation', 'Bandits', 'Sublinear query complexity']
链接: https://openreview.net/forum?id=6MFWE6u2b6R
均分: 4.5
得分: [3, 5, 5, 5]
171. PI-GNN: Towards Robust Semi-Supervised Node Classification against Noisy Labels
关键词: []
链接: https://openreview.net/forum?id=RGrj2uWTLWY
均分: 4.5
得分: [3, 5, 5, 5]
172. Learning to Solve Combinatorial Problems via Efficient Exploration
关键词: ['reinforcement learning', 'combinatorial optimisation', 'graph neural network', 'maximum cut']
链接: https://openreview.net/forum?id=olQbo52II9
均分: 4.5
得分: [3, 5, 5, 5]
173. Embedding Compression with Hashing for Efficient Representation Learning in Graph
关键词: ['embedding compression', 'hashing', 'graph']
链接: https://openreview.net/forum?id=ZaI7Rd11G4S
均分: 4.5
得分: [3, 3, 6, 6]
174. Efficient Training and Inference of Hypergraph Reasoning Networks
关键词: ['Relational Rule Induction', 'Hypergraph Network', 'Efficient Learning']
链接: https://openreview.net/forum?id=WKWAkkXGpWN
均分: 4.4
得分: [3, 3, 5, 5, 6]
175. Interpretable Multi-hop Reasoning for Forecasting Future Links on Temporal Knowledge Graphs
关键词: ['Temporal knowledge graphs', 'Forecasting', 'Question matching degree', 'Answer completing level', 'Path confidence']
链接: https://openreview.net/forum?id=OQo6Tuyo0ih
均分: 4.4
得分: [3, 3, 5, 5, 6]
176. Graph Convolutional Networks via Adaptive Filter Banks
关键词: []
链接: https://openreview.net/forum?id=yztpblfGkZ-
均分: 4.4
得分: [3, 3, 5, 5, 6]
177. G-Mixup: Graph Augmentation for Graph Classification
关键词: ['graph augmentation', 'mixup', 'graph classification', 'graphon']
链接: https://openreview.net/forum?id=dIVrWHP9_1i
均分: 4.33
得分: [3, 5, 5]
178. Learning Graph Augmentations to Learn Graph Representations
关键词: []
链接: https://openreview.net/forum?id=hNgDQPe8Uj
均分: 4.33
得分: [3, 5, 5]
179. Evaluating the Robustness of Time Series Anomaly and Intrusion Detection Methods against Adversarial Attacks
关键词: ['Time series', 'Anomaly Detection', 'Intrusion Detection', 'Adversarial Attack']
链接: https://openreview.net/forum?id=C5u6Z9voQ1
均分: 4.33
得分: [3, 5, 5]
180. Locality-Based Mini Batching for Graph Neural Networks
关键词: ['GNN', 'graph neural network', 'graphs', 'scalability', 'batching', 'local clustering']
链接: https://openreview.net/forum?id=W5PbuwQFzZx
均分: 4.33
得分: [3, 5, 5]
181. Multivariate Time Series Forecasting with Latent Graph Inference
关键词: ['Time Series Forecasting', 'Graph Neural Networks', 'Graph Inference', 'Multivariate Time Series']
链接: https://openreview.net/forum?id=JpNH4CW_zl
均分: 4.33
得分: [3, 5, 5]
182.  DIGRAC: Digraph Clustering Based on Flow Imbalance
关键词: ['flow imbalance', 'directed networks', 'graph neural networks', 'clustering', 'directed stochastic block models']
链接: https://openreview.net/forum?id=QmKblFEgQJ
均分: 4.33
得分: [3, 5, 5]
183. On the Relationship between Heterophily and Robustness of Graph Neural Networks
关键词: ['graph neural networks', 'adversarial attacks', 'heterophily', 'structural perturbation', 'robustness', 'relation']
链接: https://openreview.net/forum?id=Nus6fOfh1HW
均分: 4.25
得分: [3, 3, 5, 6]
184. Revisiting the Lottery Ticket Hypothesis: A Ramanujan Graph Perspective
关键词: ['Deep Neural Networks', 'Network Pruning', 'Ramanujan Graphs', 'Eigenvalue bounds', 'Spectral Gap']
链接: https://openreview.net/forum?id=UxBH9j8IE_H
均分: 4.25
得分: [3, 3, 5, 6]
185. Efficient Ensembles of Graph Neural Networks
关键词: []
链接: https://openreview.net/forum?id=lTiW8Jet8t
均分: 4.25
得分: [3, 3, 5, 6]
186. Molecular Graph Generation via Geometric Scattering
关键词: ['geometric scattering', 'drug discovery', 'drug design', 'graph generation', 'autoencoder']
链接: https://openreview.net/forum?id=JRrjhY3sJy_
均分: 4.25
得分: [3, 3, 5, 6]
187. A Deep Latent Space Model for Directed Graph Representation Learning
关键词: ['graph representation learning', 'directed graph', 'latent space model', 'variational autoencoder']
链接: https://openreview.net/forum?id=O2s9k4h0x7L
均分: 4.25
得分: [3, 3, 5, 6]
188. Learning Time-dependent PDE Solver using Message Passing Graph Neural Networks
关键词: ['graph neural networks', 'partial differential equations', 'time-dependent PDE', 'message passing graph neural networks']
链接: https://openreview.net/forum?id=oaKw-GmBZZ
均分: 4.25
得分: [3, 3, 5, 6]
189. Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction prediction
关键词: ['retrosynthesis', 'reaction prediction', 'graph neural network', 'Transformer', 'positional embedding']
链接: https://openreview.net/forum?id=LLHwQh9zEb
均分: 4.25
得分: [3, 3, 5, 6]
190. Node-Level Differentially Private Graph Neural Networks
关键词: ['differential privacy', 'graph neural networks', 'node-level privacy']
链接: https://openreview.net/forum?id=tCx6AefvuPf
均分: 4.25
得分: [3, 3, 5, 6]
191. Tackling Oversmoothing of GNNs with Contrastive Learning
关键词: ['graph mining', 'oversmoothing', 'contrastive learning']
链接: https://openreview.net/forum?id=kQMXLDF_z20
均分: 4.25
得分: [3, 3, 5, 6]
192. Evaluating Deep Graph Neural Networks
关键词: ['Deep', 'Graph Neural Networks']
链接: https://openreview.net/forum?id=jxTRL-VOoQo
均分: 4.25
得分: [3, 3, 5, 6]
193. A molecular hypergraph convolutional network with functional group information
关键词: ['Molecule', 'Functional group', 'graph', 'hypergraph', 'chemistry']
链接: https://openreview.net/forum?id=jPwC2MMI85Y
均分: 4.25
得分: [3, 3, 5, 6]
194. A Topological View of Rule Learning in Knowledge Graphs
关键词: ['Inductive Relation Prediction', 'Topological Data Analysis', 'Cycle Basis', 'Homology']
链接: https://openreview.net/forum?id=-xhk0O7iAc0
均分: 4.25
得分: [1, 3, 5, 8]
195. Beyond Message Passing Paradigm: Training Graph Data with Consistency Constraints
关键词: ['Graph Learning', 'Multilayer Perceptrons', 'Consistency Constraints']
链接: https://openreview.net/forum?id=3t0ZcNhBs5
均分: 4.25
得分: [3, 3, 5, 6]
196. GraphEBM: Towards Permutation Invariant and Multi-Objective Molecular Graph Generation
关键词: ['molecular graph generation', 'energy-based models', 'permutation invariance', 'multi-objective']
链接: https://openreview.net/forum?id=QCeFEThVn3
均分: 4.25
得分: [3, 3, 5, 6]
197. Learning to Solve an Order Fulfillment Problem in Milliseconds with Edge-Feature-Embedded Graph Attention
关键词: ['Combinatorial Optimization', 'Machine Learning', 'Modern Supply Chain Management']
链接: https://openreview.net/forum?id=qPQRIj_Y_EW
均分: 4.25
得分: [3, 3, 5, 6]
198. On the Expressiveness and Learning of Relational Neural Networks on Hypergraphs
关键词: ['graph neural networks', 'deep learning theory']
链接: https://openreview.net/forum?id=HRF6T1SsyDn
均分: 4.2
得分: [3, 3, 5, 5, 5]
199. LEAN: graph-based pruning for convolutional neural networks by extracting longest chains
关键词: ['Pruning', 'Sparsity', 'Compression', 'Graph pruning']
链接: https://openreview.net/forum?id=xo_5lb5ond
均分: 4.2
得分: [3, 3, 5, 5, 5]
200. Effective Polynomial Filter Adaptation for Graph Neural Networks
关键词: ['Graph Neural Networks', 'Graph Filters']
链接: https://openreview.net/forum?id=fJIrkNKGBNI
均分: 4
得分: [3, 3, 5, 5]
201. Robust Graph Data Learning with Latent Graph Convolutional Representation
关键词: []
链接: https://openreview.net/forum?id=krQLTdel74N
均分: 4
得分: [3, 3, 5, 5]
202. Metric Learning on Temporal Graphs via Few-Shot Examples
关键词: ['Metric Learning', 'Few-Shot Learning', 'Temporal Graph']
链接: https://openreview.net/forum?id=14kbUbOaZUc
均分: 4
得分: [3, 3, 5, 5]
203. AutoCoG: A Unified Data-Modal Co-Search Framework for Graph Neural Networks
关键词: ['GCN', 'NAS']
链接: https://openreview.net/forum?id=vtLbsGUyYx
均分: 4
得分: [3, 3, 5, 5]
204. Learning to Pool in Graph Neural Networks for Extrapolation
关键词: ['Graph Neural Network', 'Pooling', 'Extrapolation']
链接: https://openreview.net/forum?id=UF5cHSBycOt
均分: 4
得分: [3, 3, 5, 5]
205. Spatiotemporal Representation Learning on Time Series with Dynamic Graph ODEs
关键词: []
链接: https://openreview.net/forum?id=Jh9VxCkrEZn
均分: 4
得分: [3, 3, 3, 5, 6]
206. Genome Sequence Reconstruction Using Gated Graph Convolutional Network
关键词: ['genome assembly', 'graph neural networks', 'assembly graph', 'path finding']
链接: https://openreview.net/forum?id=1QxveKM654
均分: 4
得分: [3, 3, 5, 5]
207. Spiking Graph Convolutional Networks
关键词: ['Graph', 'spike', 'energy', 'neural network']
链接: https://openreview.net/forum?id=Ul3o26VB6KZ
均分: 4
得分: [3, 3, 5, 5]
208. Constraint-based graph network simulator
关键词: ['Physical simulations', 'graph neural network']
链接: https://openreview.net/forum?id=Uxppuphg5ZL
均分: 4
得分: [3, 3, 5, 5]
209. Understanding Graph Learning with Local Intrinsic Dimensionality
关键词: ['Local Intrinsic Dimensionality', 'Graph Neural Networks']
链接: https://openreview.net/forum?id=DaQVj6qY2-s
均分: 4
得分: [1, 5, 6]
210. LPMARL: Linear Programming based Implicit Task Assigment for Hiearchical Multi-Agent Reinforcement Learning
关键词: ['Multi-Agent Reinforcement Learning', 'Hierarchical Multi-Agent Reinforcement Learning', 'Implicit Deep Learning', 'Differentiable Optimization']
链接: https://openreview.net/forum?id=9KVfvieKho6
均分: 4
得分: [3, 3, 5, 5]
211. Knowledge Graph Completion as Tensor Decomposition: A Genreal Form and Tensor N-rank Regularization
关键词: ['Knowledge Graph', 'Tensor Decomposition', 'Low-rank Tensor Completion']
链接: https://openreview.net/forum?id=TFzHbrMveuZ
均分: 4
得分: [3, 3, 6]
212. Increase and Conquer: Training Graph Neural Networks on Growing Graphs
关键词: ['Machine Learning', 'Graph Neural Networks']
链接: https://openreview.net/forum?id=_Ko4kT3ckWy
均分: 4
得分: [3, 3, 6]
213. From Graph Local Embedding to Deep Metric Learning
关键词: ['metric learning', 'fine-grained retrieval']
链接: https://openreview.net/forum?id=87ULMOeCnE-
均分: 4
得分: [3, 3, 5, 5]
214. Large-Scale Adversarial Attacks on Graph Neural Networks via Graph Coarsening
关键词: ['Graph Neural Network', 'Adversarial Attacks', 'Graph Coarsening']
链接: https://openreview.net/forum?id=NUzrPpDjWp
均分: 4
得分: [3, 3, 5, 5]
215. R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph
关键词: ['Heterogeneous graph', 'graph neural network.']
链接: https://openreview.net/forum?id=6A7zcZ43m1S
均分: 4
得分: [3, 5]
216. FEATURE-AUGMENTED HYPERGRAPH NEURAL NETWORKS
关键词: ['graph representation learning锌褬袏hypergraph learning']
链接: https://openreview.net/forum?id=GrJDb8KXPA3
均分: 3.75
得分: [3, 3, 3, 6]
217. DEEP GRAPH TREE NETWORKS
关键词: ['graph tree networks', 'graph tree convolution networks', 'graph tree attention networks', 'GNNs']
链接: https://openreview.net/forum?id=VQhFC3Ki5C
均分: 3.75
得分: [1, 3, 5, 6]
218. Adaptive Graph Capsule Convolutional Networks
关键词: []
链接: https://openreview.net/forum?id=o2UwRc8fbXI
均分: 3.75
得分: [3, 3, 3, 6]
219. Structural Optimization Makes Graph Classification Simpler and Better
关键词: ['Structural Optimization', 'Graph Classification', 'Encoding Tree Kernel', 'Encoding Tree Learning']
链接: https://openreview.net/forum?id=_YkSZbA7ptn
均分: 3.75
得分: [3, 3, 3, 6]
220. Edge Partition Modulated Graph Convolutional Networks
关键词: ['Latent Variable Models', 'Bayesian Methods', 'Variational Inference', 'Graph Neural Networks']
链接: https://openreview.net/forum?id=ET1UAOYeU42
均分: 3.67
得分: [3, 3, 5]
221. Graph Information Matters: Understanding Graph Filters from Interaction Probability
关键词: ['Node classification', 'graph filters', 'homophily degree', 'interaction probability', 'frequency distribution', 'filter bank', 'spectral graph neural networks']
链接: https://openreview.net/forum?id=Ee2ugKwgvyy
均分: 3.67
得分: [1, 5, 5]
222. Edge Rewiring Goes Neural: Boosting Network Resilience via Policy Gradient
关键词: ['network resilience', 'neural combinatorial optimization', 'graph neural networks', 'reinforcement learning']
链接: https://openreview.net/forum?id=eVzy-BWKY6Z
均分: 3.67
得分: [3, 3, 5]
223. Graph Convolutional Memory using Topological Priors
关键词: ['reinforcement learning', 'memory', 'graph neural networks', 'navigation']
链接: https://openreview.net/forum?id=KpRpECn3FfK
均分: 3.67
得分: [3, 3, 5]
224. An Interpretable Graph Generative Model with Heterophily
关键词: ['graph', 'network', 'generative', 'heterophily', 'community detection', 'link prediction', 'interpretability']
链接: https://openreview.net/forum?id=qQuzhbU3Gto
均分: 3.67
得分: [3, 3, 5]
225. Open Set Domain Adaptation with Zero-shot Learning on Graph
关键词: ['open set domain adaptation', 'zero-shot learning', 'knowledge graph', 'graph convolutional network', 'adversarial learning']
链接: https://openreview.net/forum?id=bM5L3GLi6bG
均分: 3.67
得分: [3, 3, 5]
226. MULTI-LEVEL  APPROACH TO ACCURATE AND SCALABLE HYPERGRAPH EMBEDDING
关键词: ['network embedding', 'hypergraph embedding', 'hyperedge classification', 'multi-level hypergraph embedding']
链接: https://openreview.net/forum?id=a4W0tSTN9Kn
均分: 3.6
得分: [1, 3, 3, 5, 6]
227. CareGraph: A Graph-based Recommender System for Diabetes Self-Care
关键词: ['knowledge graph', 'knowledge graph embedding', 'recommendation system']
链接: https://openreview.net/forum?id=rX3rZYP8zZF
均分: 3.5
得分: [3, 3, 3, 5]
228. SpSC: A Fast and Provable Algorithm for Sampling-Based GNN Training
关键词: []
链接: https://openreview.net/forum?id=vRhkfX8G_H9
均分: 3.5
得分: [3, 3, 3, 5]
229. SparRL: Graph Sparsification via Deep Reinforcement Learning
关键词: ['graph sparsification', 'graph theory', 'machine learning', 'reinforcement learning']
链接: https://openreview.net/forum?id=dut7suZoRqv
均分: 3.5
得分: [3, 3, 3, 5]
230. SGTR: Generating Scene Graph by Learning Compositional Triplets with Transformer
关键词: ['Computer Vision', 'Scene graph Generation', 'Scene Understanding']
链接: https://openreview.net/forum?id=83grvoIJRnb
均分: 3.5
得分: [1, 3, 5, 5]
231. On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling
关键词: ['Graph Neural Networks', 'Graph Pooling', 'Graph Classification']
链接: https://openreview.net/forum?id=zc0YnpS90ug
均分: 3.5
得分: [3, 3, 3, 5]
232. Graph Piece: Efficiently Generating High-Quality Molecular Graphs with Substructures
关键词: []
链接: https://openreview.net/forum?id=R0xRE2MU2uA
均分: 3.5
得分: [3, 3, 3, 5]
233. GAETS: A Graph Autoencoder Time Series Approach Towards Battery Parameter Estimation
关键词: []
链接: https://openreview.net/forum?id=2z5h4hY-LQ
均分: 3.5
得分: [3, 3, 3, 5]
234. Constituency Tree Representation for Argument Unit Recognition
关键词: ['transformer', 'attention', 'bert', 'graph attention network', 'constituency parsing', 'deep learning']
链接: https://openreview.net/forum?id=roxWnqcguNq
均分: 3.5
得分: [3, 3, 3, 5]
235. Local Permutation Equivariance For Graph Neural Networks
关键词: ['Graphs', 'Equivariance', 'Permutation Equivariance', 'Graph Neural Networks', 'Representations']
链接: https://openreview.net/forum?id=7oyVOECcrt
均分: 3.5
得分: [3, 3, 3, 5]
236. Stabilized Self-training with Negative Sampling on Few-labeled Graph Data
关键词: []
链接: https://openreview.net/forum?id=O_OJoU4_yj
均分: 3.4
得分: [1, 3, 3, 5, 5]
237. KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods
关键词: ['Knowledge Graph Embedding', 'Link Prediction', 'Representation Learning']
链接: https://openreview.net/forum?id=UVtVRcurOYv
均分: 3.4
得分: [3, 3, 3, 3, 5]
238. On Locality in Graph Learning via Graph Neural Network
关键词: ['Graph Neural Network', 'Structural Behavior', 'Learning Process']
链接: https://openreview.net/forum?id=8qQ48aMXR_g
均分: 3.25
得分: [1, 3, 3, 6]
239. A Closer Look at Distribution Shifts and Out-of-Distribution Generalization on Graphs
关键词: ['Graph Neural Networks', 'Distribution Shifts', 'Out-of-Distribution Generalization']
链接: https://openreview.net/forum?id=2JFVnWuvrvV
均分: 3
得分: [3, 3, 3]
240. Wasserstein Weisfeiler-Lehman Subtree Distance for Graph-Structured Data
关键词: ['graph distance', 'graph machine learning', 'optimal tarnsport']
链接: https://openreview.net/forum?id=y3niPR1CJf6
均分: 3
得分: [3, 3, 3, 3]
241. RankedDrop: Enhancing Deep Graph Convolutional Networks Training
关键词: ['graph neural network', 'graph convolutional network', 'PageRank selection', 'spatial-aware selection', 'deep learning']
链接: https://openreview.net/forum?id=MQ12ln81Jje
均分: 3
得分: [3, 3, 3, 3]
242. Graph Similarities and Dual Approach for Sequential Text-to-Image Retrieval
关键词: ['sequential text-to-image retrieval', 'story-to-image retrieval', 'scene graph embedding', 'dual learning']
链接: https://openreview.net/forum?id=CxebB5Psl1
均分: 3
得分: [1, 3, 5]
243. SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks
关键词: ['Stroke-based representation', 'Spatial robustness', 'Robust feature learning', 'Novel pattern generation']
链接: https://openreview.net/forum?id=I13PP8-cdvz
均分: 3
得分: [1, 3, 3, 5]
244. ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
关键词: ['Vulnerability Detection', 'Cyber Security', 'Graph Neural Networks', 'Programming Language']
链接: https://openreview.net/forum?id=wVFkD13GpeX
均分: 3
得分: [3, 3, 3, 3]
245. Learning Representations of Partial Subgraphs by Subgraph InfoMax
关键词: ['Graph Neural Network', 'Subgraph', 'Mutual Information Maximization']
链接: https://openreview.net/forum?id=32KyhxmvmO
均分: 3
得分: [3, 3, 3]
246. Full-Precision Free Binary Graph Neural Networks
关键词: ['Graph Neural Networks', 'Binary Neural Networks', 'Mixture of Experts']
链接: https://openreview.net/forum?id=jxdyknFeCqO
均分: 3
得分: [3, 3, 3]
247. Benchmarking Graph Neural Networks on Dynamic Link Prediction
关键词: ['Graph neural network', 'dynamic graph neural network', 'link prediction', 'dynamic link prediction', 'temporal graph']
链接: https://openreview.net/forum?id=I2KAe7x67JU
均分: 3
得分: [1, 3, 3, 5]
248. Federated Inference through Aligning Local Representations and Learning a Consensus Graph
关键词: ['Federated inference', 'local latent representation', 'feature alignment', 'graph structure learning', 'Gumbel softmax']
链接: https://openreview.net/forum?id=DFYtZFo_1u
均分: 3
得分: [3, 3, 3, 3]
249. GCN-SL: Graph Convolutional Network with Structure Learning for Disassortative Graphs
关键词: ['Graph neural networks', 'disassortative graphs', 'representation learning', 'structure learning.']
链接: https://openreview.net/forum?id=jT9EDW9_PWF
均分: 3
得分: [3, 3, 3]
250. Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning
关键词: []
链接: https://openreview.net/forum?id=sWqjiqlUDso
均分: 3
得分: [3, 3, 3]
251. LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs
关键词: ['Graph Sparsification', 'Graph Neural Networks', 'Pruning Neural Networks']
链接: https://openreview.net/forum?id=KkIE-qePhW
均分: 3
得分: [1, 3, 3, 3, 5]
252. A multi-domain splitting framework for time-varying graph structure
关键词: ['graph signal processing', 'time-varying structure', 'anomaly detection', 'multi-domain analysis', 'graph learning']
链接: https://openreview.net/forum?id=tiQ5Zh2S3zV
均分: 3
得分: [1, 3, 5]
253. How Frequency Effect Graph Neural Networks
关键词: ['graph neural networks']
链接: https://openreview.net/forum?id=-0qmvlqnVw4
均分: 2.5
得分: [1, 3, 3, 3]
254. De novo design of protein target specific scaffold-based Inhibitors via Reinforcement Learning
关键词: ['Protein target specific molecular design', 'reinforcement learning', 'Graph Neural Networks', 'Lead molecule optimization', 'Drug Discovery', 'and Protein-ligand interaction.']
链接: https://openreview.net/forum?id=k-ES3OH7eqp
均分: 2.5
得分: [1, 3, 3, 3]
255. Convergence of Generalized Belief Propagation Algorithm on Graphs with Motifs
关键词: ['Belief Propagation', 'Bethe energy function']
链接: https://openreview.net/forum?id=nD9Pf-PjTbT
均分: 2
得分: [1, 1, 3, 3]
256. Graph Tree Neural Networks
关键词: ['Graph neural networks', 'Tree based convolutional neural network', 'Domain general learning']
链接: https://openreview.net/forum?id=size4UxXVCY
均分: 1
得分: [1, 1, 1]

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