Non-Local Graph Neural Networks | ✓ Link | 88.5 ± 1.8 | | NLGAT | 2020-05-29 |
Simple and Deep Graph Convolutional Networks | ✓ Link | 88.37 ± 1.25 | | GCNII | 2020-07-04 |
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily | ✓ Link | 88.33 ± 1.09 | | GloGNN++ | 2022-05-15 |
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily | ✓ Link | 88.31 ± 1.13 | | GloGNN | 2022-05-15 |
Revisiting Heterophily For Graph Neural Networks | ✓ Link | 88.25 ± 0.96 | | ACMII-GCN++ | 2022-10-14 |
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns | ✓ Link | 88.20 ± 2.26 | | WRGAT | 2021-06-11 |
Revisiting Heterophily For Graph Neural Networks | ✓ Link | 88.19 ± 1.17 | | ACMII-GCN+ | 2022-10-14 |
Revisiting Heterophily For Graph Neural Networks | ✓ Link | 88.11 ± 0.96 | | ACM-GCN++ | 2022-10-14 |
Non-Local Graph Neural Networks | ✓ Link | 88.1 ± 1.0 | | NLGCN | 2020-05-29 |
Beyond Low-frequency Information in Graph Convolutional Networks | ✓ Link | 88.05 ± 1.57 | | FAGCN | 2021-01-04 |
Revisiting Heterophily For Graph Neural Networks | ✓ Link | 88.05 ± 0.99 | | ACM-GCN+ | 2022-10-14 |
Revisiting Heterophily For Graph Neural Networks | ✓ Link | 88.01 ± 1.08 | | ACMII-GCN | 2022-10-14 |
Adaptive Universal Generalized PageRank Graph Neural Network | ✓ Link | 87.95 ± 1.18 | | GPRGCN | 2020-06-14 |
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks | ✓ Link | 87.95 ± 1.05 | | GGCN | 2021-02-12 |
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs | ✓ Link | 87.87 ± 1.20 | | H2GCN | 2020-06-20 |
Revisiting Heterophily For Graph Neural Networks | ✓ Link | 87.69 ± 1.07 | | ACM-SGC-2 | 2022-10-14 |
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing | ✓ Link | 87.61 ± 0.85 | | MixHop | 2019-04-30 |
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs | ✓ Link | 87.30 ± 1.15 | | Gen-NSD | 2022-02-09 |
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs | ✓ Link | 87.14 ± 1.06 | | Diag-NSD | 2022-02-09 |
Revisiting Heterophily For Graph Neural Networks | ✓ Link | 86.9 ± 1.38 | | ACM-SGC-1 | 2022-10-14 |
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs | ✓ Link | 86.90 ± 1.13 | | O(d)-NSD | 2022-02-09 |
Addressing Heterophily in Node Classification with Graph Echo State Networks | ✓ Link | 86.04 ± 1.01 | | GESN | 2023-05-14 |
Geom-GCN: Geometric Graph Convolutional Networks | ✓ Link | 85.35 ± 1.57 | | Geom-GCN | 2020-02-13 |
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods | ✓ Link | 84.64 ± 1.13 | | LINKX | 2021-10-27 |
Non-Local Graph Neural Networks | ✓ Link | 76.9 ± 1.8 | | NLMLP | 2020-05-29 |
GREAD: Graph Neural Reaction-Diffusion Networks | ✓ Link | | 88.39 | GREAD-BS | 2022-11-25 |