Geom-GCN: Geometric Graph Convolutional Networks | ✓ Link | 78.02 ± 1.15 | | Geom-GCN | 2020-02-13 |
Revisiting Heterophily For Graph Neural Networks | ✓ Link | 77.67 ± 1.19 | | ACM-GCN+ | 2022-10-14 |
Revisiting Heterophily For Graph Neural Networks | ✓ Link | 77.46 ± 1.65 | | ACM-GCN++ | 2022-10-14 |
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily | ✓ Link | 77.41 ± 1.65 | | GloGNN | 2022-05-15 |
Simple and Deep Graph Convolutional Networks | ✓ Link | 77.33 ± 1.48 | | GCNII | 2020-07-04 |
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily | ✓ Link | 77.22 ± 1.78 | | GloGNN++ | 2022-05-15 |
Revisiting Heterophily For Graph Neural Networks | ✓ Link | 77.2 ± 1.61 | | ACMII-GCN+ | 2022-10-14 |
Revisiting Heterophily For Graph Neural Networks | ✓ Link | 77.15 ± 1.45 | | ACMII-GCN | 2022-10-14 |
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks | ✓ Link | 77.14 ± 1.45 | | GGCN | 2021-02-12 |
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs | ✓ Link | 77.14 ± 1.85 | | Diag-NSD | 2022-02-09 |
Adaptive Universal Generalized PageRank Graph Neural Network | ✓ Link | 77.13 ± 1.67 | | GPRGCN | 2020-06-14 |
Revisiting Heterophily For Graph Neural Networks | ✓ Link | 77.12 ± 1.58 | | ACMII-GCN++ | 2022-10-14 |
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs | ✓ Link | 77.11 ± 1.57 | | H2GCN | 2020-06-20 |
Beyond Low-frequency Information in Graph Convolutional Networks | ✓ Link | 77.07 ± 2.05 | | FAGCN | 2021-01-04 |
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns | ✓ Link | 76.81 ± 1.89 | | WRGAT | 2021-06-11 |
Revisiting Heterophily For Graph Neural Networks | ✓ Link | 76.73 ± 1.59 | | ACM-SGC-1 | 2022-10-14 |
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs | ✓ Link | 76.70 ± 1.57 | | O(d)-NSD | 2022-02-09 |
Revisiting Heterophily For Graph Neural Networks | ✓ Link | 76.59 ± 1.69 | | ACM-SGC-2 | 2022-10-14 |
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs | ✓ Link | 76.32 ± 1.65 | | Gen-NSD | 2022-02-09 |
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing | ✓ Link | 76.26 ± 1.33 | | MixHop | 2019-04-30 |
Non-Local Graph Neural Networks | ✓ Link | 76.2 ± 1.6 | | NLGAT | 2020-05-29 |
Non-Local Graph Neural Networks | ✓ Link | 75.2 ± 1.4 | | NLGCN | 2020-05-29 |
Addressing Heterophily in Node Classification with Graph Echo State Networks | ✓ Link | 74.51 ± 2.14 | | GESN | 2023-05-14 |
Non-Local Graph Neural Networks | ✓ Link | 73.4 ± 1.9 | | NLMLP | 2020-05-29 |
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods | ✓ Link | 73.19 ± 0.99 | | LINKX | 2021-10-27 |
GREAD: Graph Neural Reaction-Diffusion Networks | ✓ Link | | 77.53 | GREAD-BS | 2022-11-25 |