GemsLab / H2GCN

Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

Date Created 2020-10-16 (4 years ago)

Commits 9 (last one 2 years ago)

Stargazers 97 (0 this week)

Watchers 4 (0 this week)

Forks 16

License unknown

Ranking

RepositoryStats indexes 579,555 repositories, of these GemsLab/H2GCN is ranked #294,404 (49th percentile) for total stargazers, and #371,737 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #54,394/115,123.

GemsLab/H2GCN is also tagged with popular topics, for these it's ranked: graph-neural-networks (#277/578)

Other Information

GemsLab/H2GCN has Github issues enabled, there is 1 open issue and 9 closed issues.

All Topics

graphs signac heterophily neurips-2020 node-classification graph-neural-networks

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2 commits on the default branch (master) since jan '22

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updated: 2024-10-01 @ 07:03pm, id: 304582031 / R_kgDOEieNjw