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Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
Beyond Homophily in Graph Neural Networks Current Liminations and Effective Designs NIPS 2020
Discover the Future of Graph Neural Networks | Beyond message passing
Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily
2022 Talk: Beyond Homophily In Graph Neural Networks — Prof. Danai Koutra, Uni. of Michigan & Amazon
Heterophilic and Homophilic Graphs in Graph Neural Networks (GNNs): A Guide for Investors
GBK-GNN: Gated Bi-Kernel Graph Neural Network for Modeling Both Homophily and Heterophily
KDD 2023 - Spatial Heterophily Aware Graph Neural Networks
Graph Neural Networks for Graphs witih heterophily A Survey 2022
CoRL 2020, Spotlight Talk 184: MuGNet: Multi-Resolution Graph Neural Network for Segmenting Large...
Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heteroph
Graph Substructure Networks