| Non-Local Graph Neural Networks | ✓ Link | 37.9 ± 1.3 | NLMLP | 2020-05-29 |
| Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs | ✓ Link | 37.81 ± 1.15 | O(d)-NSD | 2022-02-09 |
| Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs | ✓ Link | 37.80 ± 1.22 | Gen-NSD | 2022-02-09 |
| Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs | ✓ Link | 37.79 ± 1.01 | Diag-NSD | 2022-02-09 |
| Finding Global Homophily in Graph Neural Networks When Meeting Heterophily | ✓ Link | 37.70 ± 1.40 | GloGNN++ | 2022-05-15 |
| Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks | ✓ Link | 37.54 ± 1.56 | GGCN | 2021-02-12 |
| Simple and Deep Graph Convolutional Networks | ✓ Link | 37.44 ± 1.30 | GCNII | 2020-07-04 |
| Finding Global Homophily in Graph Neural Networks When Meeting Heterophily | ✓ Link | 37.35 ± 1.30 | GloGNN | 2022-05-15 |
| Revisiting Heterophily For Graph Neural Networks | ✓ Link | 37.31 ± 1.09 | ACM-GCN++ | 2022-10-14 |
| Revisiting Heterophily For Graph Neural Networks | ✓ Link | 37.09 ± 1.32 | ACMII-GCN++ | 2022-10-14 |
| Deformable Graph Convolutional Networks | ✓ Link | 37.07±0.79 | Deformable GCN | 2021-12-29 |
| Revisiting Heterophily For Graph Neural Networks | ✓ Link | 36.63 ± 0.84 | ACM-GCN | 2022-10-14 |
| Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns | ✓ Link | 36.53 ± 0.77 | WRGAT | 2021-06-11 |
| Revisiting Heterophily For Graph Neural Networks | ✓ Link | 36.31 ± 1.2 | ACMII-GCN | 2022-10-14 |
| Revisiting Heterophily For Graph Neural Networks | ✓ Link | 36.26 ± 1.34 | ACM-GCN+ | 2022-10-14 |
| Revisiting Heterophily For Graph Neural Networks | ✓ Link | 36.14 ± 1.44 | ACMII-GCN+ | 2022-10-14 |
| Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods | ✓ Link | 36.10 ± 1.55 | LINKX | 2021-10-27 |
| Revisiting Heterophily For Graph Neural Networks | ✓ Link | 36.04 ± 0.83 | ACM-SGC-2 | 2022-10-14 |
| Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs | ✓ Link | 35.70 ± 1.00 | H2GCN | 2020-06-20 |
| Revisiting Heterophily For Graph Neural Networks | ✓ Link | 35.49 ± 1.06 | ACM-SGC-1 | 2022-10-14 |
| Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks | ✓ Link | 35.16 ± 0.9 | GPRGCN | 2021-02-12 |
| Beyond Low-frequency Information in Graph Convolutional Networks | ✓ Link | 34.82 ± 1.35 | FAGCN | 2021-01-04 |
| MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing | ✓ Link | 32.22 ± 2.34 | MixHop | 2019-04-30 |
| Non-Local Graph Neural Networks | ✓ Link | 31.6 ± 1.0 | NLGCN | 2020-05-29 |
| Geom-GCN: Geometric Graph Convolutional Networks | ✓ Link | 31.59 ± 1.15 | Geom-GCN | 2020-02-13 |
| Non-Local Graph Neural Networks | ✓ Link | 29.5 ± 1.3 | NLGAT | 2020-05-29 |