jhljx / CTGCN

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

Date Created 2020-01-17 (5 years ago)

Commits 101 (last one about a year ago)

Stargazers 96 (0 this week)

Watchers 4 (0 this week)

Forks 28

License mit

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RepositoryStats indexes 623,871 repositories, of these jhljx/CTGCN is ranked #312,168 (50th percentile) for total stargazers, and #379,404 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #58,911/126,758.

jhljx/CTGCN is also tagged with popular topics, for these it's ranked: graph-neural-networks (#293/606)

Other Information

jhljx/CTGCN has Github issues enabled, there are 2 open issues and 8 closed issues.

All Topics

dynamic-graphs graph-embedding link-prediction network-embedding edge-classification node-classification graph-neural-network graph-neural-networks dynamic-graph-algorithm dynamic-graph-embedding temporal-graph-networks dynamic-graph-processing graph-embedding-approaches graph-centrality-prediction graph-convolutional-network graph-representation-learning

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

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updated: 2025-03-04 @ 09:52pm, id: 234524701 / R_kgDODfqQHQ