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 (about a year ago)

Commits 6 (last one about a year ago)

Stargazers 72 (0 this week)

Watchers 7 (0 this week)

Forks 9

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Ranking

RepositoryStats indexes 579,238 repositories, of these SitaoLuan/ACM-GNN is ranked #363,604 (37th percentile) for total stargazers, and #268,346 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #68,267/115,001.

SitaoLuan/ACM-GNN is also tagged with popular topics, for these it's ranked: pytorch (#4,136/5908), graph (#633/901), graph-neural-networks (#341/568), graph-convolutional-networks (#80/110)

All Topics

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

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

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updated: 2024-11-07 @ 11:13am, id: 568976266 / R_kgDOIenjig