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Experimental Investigation of Neural and Weisfeiler-Lehman-Kernel Graph Representations for Downstream SVM-Based Classification
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SYSNO 0546251 Title Experimental Investigation of Neural and Weisfeiler-Lehman-Kernel Graph Representations for Downstream SVM-Based Classification Author(s) Borisov, S. (CZ)
Dědič, M. (CZ)
Holeňa, Martin (UIVT-O) SAI, RIDSource Title Proceedings of the 21st Conference Information Technologies – Applications and Theory (ITAT 2021). S. 130-139. - Aachen : Technical University & CreateSpace Independent Publishing, 2021 / Brejová B. ; Ciencialová L. ; Holeňa M. ; Mráz F. ; Pardubská D. ; Plátek M. ; Vinař T. Conference ITAT 2021: Information Technologies - Applications and Theory /21./, 24.09.2021 - 28.09.2021, Heľpa Document Type Konferenční příspěvek (zahraniční konf.) Grant GA18-18080S GA ČR - Czech Science Foundation (CSF), CZ - Czech Republic Institutional support UIVT-O - RVO:67985807 Language eng Country DE Keywords graph representation learning * graph neural networks * message-passing networks * Weisfeiler-Lehman isomorphism test * Weisfeiler-Lehman subtree kernel Cooperating institutions Matematicko-fyzikalni fakulta UK
FJFI ČVUT Praha (Czech Republic)
Cisco Systems, Inc., Prague (Czech Republic)URL https://ics.upjs.sk/~antoni/ceur-ws.org/Vol-0000/paper50.pdf Permanent Link http://hdl.handle.net/11104/0322814 File Download Size Commentary Version Access 0546251-aoa.pdf 2 202.6 KB OA CC BY 4.0 Publisher’s postprint open-access
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