stefaniaebli / simplicial_neural_networks

Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.

Date Created 2020-10-21 (4 years ago)
Commits 79 (last one 3 years ago)
Stargazers 76 (0 this week)
Watchers 6 (0 this week)
Forks 8
License mit
Ranking

RepositoryStats indexes 618,350 repositories, of these stefaniaebli/simplicial_neural_networks is ranked #364,195 (41st percentile) for total stargazers, and #303,826 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #9,222/18,432.

stefaniaebli/simplicial_neural_networks is also tagged with popular topics, for these it's ranked: deep-learning (#5,898/8711),  graph-neural-networks (#345/603),  convolutional-neural-networks (#378/557)

Other Information

stefaniaebli/simplicial_neural_networks has Github issues enabled, there are 3 open issues and 1 closed issue.

Homepage URL: https://arxiv.org/abs/2010.03633

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updated: 2025-01-10 @ 03:34pm, id: 305984868 / R_kgDOEjz1ZA