 Ensemble Multi-Relational Graph Neural NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 |
 How Powerful are Spectral Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2022 |
 Robust Graph Representation Learning for Local Corruption RecoveryThe Web Conference (WWW), 2022 |
 Convolutional Neural Networks on Graphs with Chebyshev Approximation,
RevisitedNeural Information Processing Systems (NeurIPS), 2022 |
 Multi-view Contrastive Graph ClusteringNeural Information Processing Systems (NeurIPS), 2021 |
 BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein
ApproximationNeural Information Processing Systems (NeurIPS), 2021 |
 Is Homophily a Necessity for Graph Neural Networks?International Conference on Learning Representations (ICLR), 2021 |
 AKE-GNN: Effective Graph Learning with Adaptive Knowledge ExchangeInternational Conference on Information and Knowledge Management (CIKM), 2021 |
 Scaling Up Graph Neural Networks Via Graph CoarseningKnowledge Discovery and Data Mining (KDD), 2021 |
 Graph Neural Networks Inspired by Classical Iterative AlgorithmsInternational Conference on Machine Learning (ICML), 2021 |
 Graph Neural Networks: Taxonomy, Advances and TrendsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020 |
 A Unified View on Graph Neural Networks as Graph Signal DenoisingInternational Conference on Information and Knowledge Management (CIKM), 2020 |
 Hyperbolic Graph Convolutional Neural NetworksNeural Information Processing Systems (NeurIPS), 2019 |
