SitaoLuan / ACM-GNN

NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

Date Created 2022-11-21 (2 years ago)

Commits 9 (last one about a month ago)

Stargazers 74 (0 this week)

Watchers 7 (0 this week)

Forks 8

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RepositoryStats indexes 595,856 repositories, of these SitaoLuan/ACM-GNN is ranked #361,072 (39th percentile) for total stargazers, and #271,583 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #68,272/119,431.

SitaoLuan/ACM-GNN is also tagged with popular topics, for these it's ranked: pytorch (#4,113/6025), graph (#631/920), graph-neural-networks (#348/592), graph-convolutional-networks (#80/111)

All Topics

graph pytorch homophily filterbank heterophily graph-neural-networks geometric-deep-learning graph-convolutional-networks graph-representation-learning

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9 commits on the default branch (main) since jan '22

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updated: 2024-12-11 @ 05:16pm, id: 568976266 / R_kgDOIenjig