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 74 (0 this week)

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RepositoryStats indexes 579,555 repositories, of these stefaniaebli/simplicial_neural_networks is ranked #357,042 (38th percentile) for total stargazers, and #296,754 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #8,911/16,901.

stefaniaebli/simplicial_neural_networks is also tagged with popular topics, for these it's ranked: deep-learning (#5,815/8344), graph-neural-networks (#334/578), convolutional-neural-networks (#377/536)

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

All Topics

laplacian deep-learning graph-neural-networks geometric-deep-learning topological-data-analysis convolutional-neural-networks

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updated: 2024-11-07 @ 06:28pm, id: 305984868 / R_kgDOEjz1ZA