TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
সংরক্ষণ করুন:
| প্রকাশিত: | arXiv.org (Dec 9, 2024), p. n/a |
|---|---|
| প্রধান লেখক: | |
| অন্যান্য লেখক: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| প্রকাশিত: |
Cornell University Library, arXiv.org
|
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | Citation/Abstract Full text outside of ProQuest |
| ট্যাগগুলো: |
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
|
| সার সংক্ষেপ: | 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/}{https://pyt-team.github.io/. |
|---|---|
| আইএসএসএন: | 2331-8422 |
| সম্পদ: | Engineering Database |