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1 Ergebnisse
1
Scalable Global Alignment Graph Kernel Using Random Feature..:
, In:
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
,
Wu, Lingfei
;
Yen, Ian En-Hsu
;
Zhang, Zhen
... - p. 1418-1428 , 2019
Link:
https://dl.acm.org/doi/10.1145/3292500.3330918
RT T1 <cTitle>Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>Scalable Global Alignment Graph Kernel Using Random Features : From Node Embedding to Graph Embedding</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3330918&Exemplar=1&LAN=DE A1 Wu, Lingfei A1 Yen, Ian En-Hsu A1 Zhang, Zhen A1 Xu, Kun A1 Zhao, Liang A1 Peng, Xi A1 Xia, Yinglong A1 Aggarwal, Charu PB ACM YR 2019 K1 global alignment K1 graph embedding K1 graph kernel K1 graph representation learning K1 random features K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Kernel methods SP 1418 OP 1428 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3292500.3330918 DO https://dl.acm.org/doi/10.1145/3292500.3330918 SF ELIB - SuUB Bremen
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