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 8 hours ago)

Stargazers 74 (1 this week)

Watchers 7 (0 this week)

Forks 8

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Ranking

RepositoryStats indexes 584,353 repositories, of these SitaoLuan/ACM-GNN is ranked #359,470 (38th percentile) for total stargazers, and #269,279 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #67,515/116,326.

SitaoLuan/ACM-GNN is also tagged with popular topics, for these it's ranked: pytorch (#4,098/5948), graph (#627/910), graph-neural-networks (#339/581), 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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7 commits on the default branch (main) since jan '22

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updated: 2024-11-21 @ 08:14am, id: 568976266 / R_kgDOIenjig