↪︎ TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
The TopoX implementation paper describing the three packages: TopoNetX, TopoEmbedX and TopoModelX enabling machine learning on topological domains that extend graphs such as hypergraphs, simplicial, cellular, path and combinatorial complexes.
Abstract
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://pyt-team.github.io/.
