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Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks., , , and . NeurIPS, page 10943-10953. (2019)Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks., , , , and . CoRR, (2022)Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?, , , , , , , and . CoRR, (2021)Representation Learning on Heterophilic Graph with Directional Neighborhood Attention., , , and . CoRR, (2024)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)META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation., , , , and . AAMAS, page 1647-1655. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Revisiting Heterophily For Graph Neural Networks., , , , , , , and . NeurIPS, (2022)