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node-classification-on-non-homophilic-13

Node ClassificationNode Classification on Non-Homophilic (Heterophilic) Graphs
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PaperCode1:1 AccuracyModelNameReleaseDate
Revisiting Heterophily For Graph Neural Networks✓ Link86.08 ± 0.43ACM-GCN++2022-10-14
Revisiting Heterophily For Graph Neural Networks✓ Link85.95 ± 0.26ACMII-GCN++2022-10-14
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily✓ Link85.74 ± 0.42GloGNN++2022-05-15
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily✓ Link85.57 ± 0.35GloGNN2022-05-15
Revisiting Heterophily For Graph Neural Networks✓ Link85.05 ± 0.19ACM-GCN+2022-10-14
Revisiting Heterophily For Graph Neural Networks✓ Link84.95 ± 0.43ACMII-GCN+2022-10-14
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods✓ Link84.71 ± 0.52LINKX2021-10-27
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing✓ Link83.47 ± 0.71MixHop2019-04-30
Simple and Deep Graph Convolutional Networks✓ Link82.92 ± 0.59GCNII2020-07-04
Revisiting Heterophily For Graph Neural Networks✓ Link82.73 ± 0.52ACM-GCN2022-10-14
Semi-Supervised Classification with Graph Convolutional Networks✓ Link82.47 ± 0.27GCN2016-09-09
Revisiting Heterophily For Graph Neural Networks✓ Link82.4 ± 0.48ACMII-GCN2022-10-14
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods✓ Link81.63 ± 0.54GCNJK2021-10-27
Graph Attention Networks✓ Link81.53 ± 0.55GAT2017-10-30
Adaptive Universal Generalized PageRank Graph Neural Network✓ Link81.38 ± 0.16GPRGCN2020-06-14
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs✓ Link81.31 ± 0.60H2GCN2020-06-20
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods✓ Link80.79 ± 0.49LINK 2021-10-27
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods✓ Link80.69 ± 0.36GATJK2021-10-27
Addressing Heterophily in Node Classification with Graph Echo State Networks✓ Link80.29 ± 0.41GESN2023-05-14
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks✓ Link78.40 ± 3.12C&S 2-hop2020-10-27
Simplifying Graph Convolutional Networks✓ Link76.09 ± 0.45SGC 2-hop2019-02-19
Predict then Propagate: Graph Neural Networks meet Personalized PageRank✓ Link74.33 ± 0.38APPNP2018-10-14
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns✓ Link74.32 ± 0.53WRGAT2021-06-11
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks✓ Link74.28 ± 1.19C&S 1-hop 2020-10-27
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods✓ Link74.13 ± 0.46L Prop 2-hop2021-10-27
Revisiting Heterophily For Graph Neural Networks✓ Link73.61 ± 0.40MLP2022-10-14
Simplifying Graph Convolutional Networks✓ Link66.79 ± 0.27SGC 1-hop2019-02-19
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods✓ Link63.21 ± 0.39L Prop 1-hop2021-10-27
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