dsgiitr / graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Date Created 2019-08-07 (5 years ago)

Commits 98 (last one 3 years ago)

Stargazers 1,149 (2 this week)

Watchers 39 (0 this week)

Forks 226

License unknown

Ranking

RepositoryStats indexes 595,856 repositories, of these dsgiitr/graph_nets is ranked #45,294 (92nd percentile) for total stargazers, and #55,204 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #926/17,543.

dsgiitr/graph_nets is also tagged with popular topics, for these it's ranked: pytorch (#741/6025), graph-convolutional-networks (#9/111)

Other Information

dsgiitr/graph_nets has 2 open pull requests on Github, 10 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 3 closed issues.

All Topics

pytorch deepwalk graph-sage node-embedding graph-embedding chebyshev-polynomials graph-attention-networks graph-convolutional-networks graph-representation-learning

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updated: 2024-12-20 @ 04:46am, id: 201037432 / R_kgDOC_uWeA