Graph Kernels: State-of-the-Art and Future Challenges

Borgwardt, Karsten; Ghisu, Elisabetta; Llinares-López, Felipe; O’Bray, Leslie; Rieck, Bastian

doi:10.1561/2200000076

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Graph Kernels: State-of-the-Art and Future Challenges

Borgwardt, K., Ghisu, E., Llinares-López, F., O’Bray, L., & Rieck, B. (2020). Graph Kernels: State-of-the-Art and Future Challenges. Foundations and Trends® in Machine Learning, 13(5-6), 531-712. doi:10.1561/2200000076.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-F061-7 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-F353-4

Genre: Journal Article

Alternative Title : Graph Kernels

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https://arxiv.org/abs/2011.03854 (Any fulltext) Open Access status unknown

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arXiv

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Creators:
Borgwardt, Karsten¹, Author
Ghisu, Elisabetta, Author
Llinares-López, Felipe, Author
O’Bray, Leslie, Author
Rieck, Bastian, Author

Affiliations:
1ETH Zürich, ou_persistent22

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Dates: Published Online: 2020-12-23Date issued: 2020

Publication Status: Issued

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Identifiers: DOI: 10.1561/2200000076
ISSN: 1935-8237, 1935-8245

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Title: Foundations and Trends® in Machine Learning

Alternative Title : FNT in Machine Learning

Source Genre: Journal

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Pages: - Volume / Issue: 13 (5-6) Sequence Number: - Start / End Page: 531 - 712 Identifier: -