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 Demystifying Higher-Order Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 |
 The Expressive Power of Graph Neural Networks: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 |
 Graph Propagation Transformer for Graph Representation LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 |
 Towards Better Graph Representation Learning with Parameterized
Decomposition & FilteringInternational Conference on Machine Learning (ICML), 2023 |
 Your Transformer May Not be as Powerful as You ExpectNeural Information Processing Systems (NeurIPS), 2022 |
 How Powerful are K-hop Message Passing Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2022 |
 Equilibrium Aggregation: Encoding Sets via OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2022 |
 Nested Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2021 |
 Global Self-Attention as a Replacement for Graph ConvolutionKnowledge Discovery and Data Mining (KDD), 2021 |
 RAN-GNNs: breaking the capacity limits of graph neural networksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 |
 Autobahn: Automorphism-based Graph Neural NetsNeural Information Processing Systems (NeurIPS), 2021 |
