Summary of Topox: a Suite Of Python Packages For Machine Learning on Topological Domains, by Mustafa Hajij et al.
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
by Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane
First submitted to arxiv on: 4 Feb 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Mathematical Software (cs.MS); Computation (stat.CO)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary TopoX is a Python software suite that enables reliable and user-friendly computing and machine learning on topological domains extending graphs, such as hypergraphs, simplicial complexes, and combinatorial complexes. The suite consists of three packages: TopoNetX for constructing and computing on these domains; TopoEmbedX for embedding topological domains into vector spaces; and TopoModelX, built on PyTorch, offering higher-order message passing functions for neural networks. TopoX’s extensively documented and unit-tested source code is available under MIT license. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary TopoX is a new tool that helps computers understand complex structures like shapes and patterns. It lets you build and work with these structures in a user-friendly way, kind of like how you would play with building blocks. TopoX also has tools to help computers learn from these structures, which can be useful for things like image recognition or natural language processing. You can use it for free and find the source code on a website. |
Keywords
* Artificial intelligence * Embedding * Machine learning * Natural language processing
