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node-classification-on-non-homophilic-11

Node ClassificationNode Classification on Non-Homophilic (Heterophilic) Graphs
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PaperCode1:1 AccuracyModelNameReleaseDate
Scale Invariance of Graph Neural Networks✓ Link80.1±1.5ScaleNet2024-11-28
Edge Directionality Improves Learning on Heterophilic Graphs✓ Link79.71±1.26Dir-GNN2023-05-17
Addressing Heterophily in Node Classification with Graph Echo State Networks✓ Link77.05 ± 1.24GESN2023-05-14
Revisiting Heterophily For Graph Neural Networks✓ Link74.76 ± 2.2ACMII-GCN++2022-10-14
Revisiting Heterophily For Graph Neural Networks✓ Link74.56 ± 2.08ACMII-GCN+2022-10-14
Revisiting Heterophily For Graph Neural Networks✓ Link74.47 ± 1.84ACM-GCN+2022-10-14
Revisiting Heterophily For Graph Neural Networks✓ Link74.41 ± 1.49ACM-GCN++2022-10-14
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily✓ Link71.21 ± 1.84 GloGNN++2022-05-15
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks✓ Link71.14 ±1.84GGCN2021-02-12
Deformable Graph Convolutional Networks✓ Link70.90 ±1.12Deformable GCN2021-12-29
Non-Local Graph Neural Networks✓ Link70.1 ± 2.9NLGCN 2020-05-29
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily✓ Link69.78 ± 2.42 GloGNN2022-05-15
Revisiting Heterophily For Graph Neural Networks✓ Link69.14 ± 1.91ACM-GCN2022-10-14
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs✓ Link68.68 ± 1.73Diag-NSD2022-02-09
Revisiting Heterophily For Graph Neural Networks✓ Link68.46 ± 1.7ACMII-GCN2022-10-14
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods✓ Link68.42 ± 1.38 LINKX2021-10-27
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs✓ Link68.04 ± 1.58O(d)-NSD2022-02-09
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs✓ Link67.93 ± 1.58Gen-NSD2022-02-09
Non-Local Graph Neural Networks✓ Link65.7 ± 1.4NLGAT 2020-05-29
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns✓ Link65.24 ± 0.87 WRGAT2021-06-11
Revisiting Heterophily For Graph Neural Networks✓ Link63.99 ± 1.66ACM-SGC-12022-10-14
Simple and Deep Graph Convolutional Networks✓ Link63.86 ± 3.04 GCNII2020-07-04
Adaptive Universal Generalized PageRank Graph Neural Network✓ Link62.59 ± 2.04GPRGCN2020-06-14
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing✓ Link60.50 ± 2.53 MixHop2019-04-30
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs✓ Link60.11 ± 2.15H2GCN2020-06-20
Geom-GCN: Geometric Graph Convolutional Networks✓ Link60.00 ± 2.81Geom-GCN2020-02-13
Revisiting Heterophily For Graph Neural Networks✓ Link59.21 ± 2.22ACM-SGC-22022-10-14
Non-Local Graph Neural Networks✓ Link50.7 ± 2.2NLMLP 2020-05-29
Beyond Low-frequency Information in Graph Convolutional Networks✓ Link46.07 ± 2.11FAGCN2021-01-04
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