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Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks.

, , , , and . CoRR, (2020)

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When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability., , , , , , , , and . CoRR, (2023)When Do We Need GNN for Node Classification?, , , , , and . CoRR, (2022)Revisiting Heterophily For Graph Neural Networks., , , , , , , and . NeurIPS, (2022)Effective Protein-Protein Interaction Exploration with PPIretrieval., , , , and . CoRR, (2024)When Do We Need Graph Neural Networks for Node Classification?, , , , , and . COMPLEX NETWORKS (1), volume 1141 of Studies in Computational Intelligence, page 37-48. Springer, (2023)Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation., , , , , , , , , and 7 other author(s). CoRR, (2024)MUDiff: Unified Diffusion for Complete Molecule Generation., , , , , , and . LoG, volume 231 of Proceedings of Machine Learning Research, page 33. PMLR, (2023)Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?, , , , , , , and . CoRR, (2021)Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks., , , , and . CoRR, (2022)High-Order Pooling for Graph Neural Networks with Tensor Decomposition., , and . NeurIPS, (2022)