Autor:	Emil Saucan, Vladislav Barkanass, Jürgen Jost
Rok vydání:	2023
Předmět:	Statistics and Probability Computational Theory and Mathematics Applied Mathematics Geometry and Topology Computer Science Applications
Zdroj:	Information Geometry.
ISSN:	2511-249X 2511-2481
DOI:	10.1007/s41884-022-00095-5
Popis:	We develop embedding kernels based on the Forman–Ricci curvature and intertwined Bochner–Laplacian and employ them for the detection of the coarse structure of networks, as well as for network visualization with applications to support-vector machines (SVMs).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c1c95faa930d4d0d7f64db06b6ea1adb https://doi.org/10.1007/s41884-022-00095-5 Zobrazit plný text záznamu Full text from SpringerLink