Local algorithms for estimating effective resistance

Peng, P. orcid.org/0000-0003-2700-5699, Lopatta, D., Yoshida, Y. et al. (1 more author) (2021) Local algorithms for estimating effective resistance. In: KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 14-18 Aug 2021, Virtual conference Singapore. ACM Digital Library , pp. 1329-1338. ISBN 9781450383325

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Copyright, Publisher and Additional Information: © 2021 Copyright held by the owner/author(s). Publication rights licensed to ACM. This is an author-produced version of a paper subsequently published in KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Graph algorithms; Random walks; Effective resistances
Dates:
  • Accepted: 16 May 2021
  • Published (online): 14 August 2021
  • Published: 14 August 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 29 Jun 2021 07:12
Last Modified: 21 Sep 2021 16:19
Status: Published
Publisher: ACM Digital Library
Refereed: Yes
Identification Number: https://doi.org/10.1145/3447548.3467361
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