| Revisiting Heterophily For Graph Neural Networks | ✓ Link | 88.38 ± 3.64 | ACM-GCN+ | 2022-10-14 |
| Revisiting Heterophily For Graph Neural Networks | ✓ Link | 88.38 ± 3.43 | ACM-GCN++ | 2022-10-14 |
| Revisiting Heterophily For Graph Neural Networks | ✓ Link | 88.38 ± 3.43 | ACMII-GCN++ | 2022-10-14 |
| Revisiting Heterophily For Graph Neural Networks | ✓ Link | 88.11 ± 3.24 | ACMII-GCN+ | 2022-10-14 |
| Revisiting Heterophily For Graph Neural Networks | ✓ Link | 87.84 ± 4.4 | ACM-GCN | 2022-10-14 |
| Revisiting Heterophily For Graph Neural Networks | ✓ Link | 86.76 ± 4.75 | ACMII-GCN | 2022-10-14 |
| Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs | ✓ Link | 85.95 ± 5.51 | O(d)-NSD | 2022-02-09 |
| Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs | ✓ Link | 85.67 ± 6.95 | Diag-NSD | 2022-02-09 |
| Non-Local Graph Neural Networks | ✓ Link | 85.4 ± 3.8 | NLMLP | 2020-05-29 |
| Beyond Low-frequency Information in Graph Convolutional Networks | ✓ Link | 84.86 ± 7.23 | H2GCN | 2021-01-04 |
| Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks | ✓ Link | 84.86 ± 4.55 | GGCN | 2021-02-12 |
| Finding Global Homophily in Graph Neural Networks When Meeting Heterophily | ✓ Link | 84.32 ± 4.15 | GloGNN | 2022-05-15 |
| Addressing Heterophily in Node Classification with Graph Echo State Networks | ✓ Link | 84.31 ± 4.44 | GESN | 2023-05-14 |
| Finding Global Homophily in Graph Neural Networks When Meeting Heterophily | ✓ Link | 84.05 ± 4.90 | GloGNN++ | 2022-05-15 |
| Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns | ✓ Link | 83.62 ± 5.50 | WRGAT | 2021-06-11 |
| Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs | ✓ Link | 82.97 ± 5.13 | Gen-NSD | 2022-02-09 |
| Revisiting Heterophily For Graph Neural Networks | ✓ Link | 81.89 ± 4.53 | ACM-SGC-1 | 2022-10-14 |
| Revisiting Heterophily For Graph Neural Networks | ✓ Link | 81.89 ± 4.53 | ACM-SGC-2 | 2022-10-14 |
| Adaptive Universal Generalized PageRank Graph Neural Network | ✓ Link | 81.35 ± 5.32 | GPRGCN | 2020-06-14 |
| MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing | ✓ Link | 77.84 ± 7.73 | MixHop | 2019-04-30 |
| Simple and Deep Graph Convolutional Networks | ✓ Link | 77.57 ± 3.83 | GCNII | 2020-07-04 |
| Beyond Low-frequency Information in Graph Convolutional Networks | ✓ Link | 76.49 ± 2.87 | FAGCN | 2021-01-04 |
| Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods | ✓ Link | 74.60 ± 8.37 | LINKX | 2021-10-27 |
| Geom-GCN: Geometric Graph Convolutional Networks | ✓ Link | 66.76 ± 2.72 | Geom-GCN | 2020-02-13 |
| Non-Local Graph Neural Networks | ✓ Link | 65.5 ± 6.6 | NLGCN | 2020-05-29 |
| Non-Local Graph Neural Networks | ✓ Link | 62.6 ± 7.1 | NLGAT | 2020-05-29 |