TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
CoRR(2024)
摘要
We introduce topox, a Python software suite that provides reliable and
user-friendly building blocks for computing and machine learning on topological
domains that extend graphs: hypergraphs, simplicial, cellular, path and
combinatorial complexes. topox consists of three packages: toponetx facilitates
constructing and computing on these domains, including working with nodes,
edges and higher-order cells; topoembedx provides methods to embed topological
domains into vector spaces, akin to popular graph-based embedding algorithms
such as node2vec; topomodelx is built on top of PyTorch and offers a
comprehensive toolbox of higher-order message passing functions for neural
networks on topological domains. The extensively documented and unit-tested
source code of topox is available under MIT license at
https://github.com/pyt-team.
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