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

, , , , and . CoRR, (2022)

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Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks., , , and . NeurIPS, page 10943-10953. (2019)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)Representation Learning on Heterophilic Graph with Directional Neighborhood Attention., , , and . 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)Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks., , , and . CoRR, (2020)A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning., , , , , and . NeurIPS, page 1569-1581. (2021)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)