TopoX: A Suite of Python Packages for Machine Learning on Topological Domains

-д хадгалсан:

Номзүйн дэлгэрэнгүй
-д хэвлэсэн:	arXiv.org (Dec 9, 2024), p. n/a
Үндсэн зохиолч:	Hajij, Mustafa
Бусад зохиолчид:	Papillon, Mathilde, Frantzen, Florian, Agerberg, Jens, AlJabea, Ibrahem, Ballester, Rubén, Battiloro, Claudio, Bernárdez, Guillermo, Birdal, Tolga, Brent, Aiden, Chin, Peter, Escalera, Sergio, Fiorellino, Simone, Odin Hoff Gardaa, Gopalakrishnan, Gurusankar, Govil, Devendra, Hoppe, Josef, Maneel Reddy Karri, Khouja, Jude, Lecha, Manuel, Livesay, Neal, Meißner, Jan, Mukherjee, Soham, Nikitin, Alexander, Papamarkou, Theodore, Prílepok, Jaro, Karthikeyan Natesan Ramamurthy, Rosen, Paul, Guzmán-Sáenz, Aldo, Salatiello, Alessandro, Samaga, Shreyas N, Scardapane, Simone, Schaub, Michael T, Scofano, Luca, Spinelli, Indro, Telyatnikov, Lev, Truong, Quang, Walters, Robin, Yang, Maosheng, Zaghen, Olga, Zamzmi, Ghada, Zia, Ali, Miolane, Nina
Хэвлэсэн:	Cornell University Library, arXiv.org
Нөхцлүүд:	Algorithms Python Message passing Computation Source code Packages Neural networks Machine learning Combinatorial analysis Domains Topology Vector spaces
Онлайн хандалт:	Citation/Abstract Full text outside of ProQuest
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Тодорхойлолт
Хураангуй:	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/.
ISSN:	2331-8422
Эх сурвалж:	Engineering Database