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1 Ergebnisse
1
Mastering Long-Tail Complexity on Graphs: Characterization,..:
, In:
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Wang, Haohui
;
Jing, Baoyu
;
Ding, Kaize
... - p. 3045-3056 , 2024
Link:
https://dl.acm.org/doi/10.1145/3637528.3671880
RT T1 <cTitle>Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3671880&Exemplar=1&LAN=DE A1 Wang, Haohui A1 Jing, Baoyu A1 Ding, Kaize A1 Zhu, Yada A1 Cheng, Wei A1 Zhang, Si A1 Fan, Yonghui A1 Zhang, Liqing A1 Zhou, Dawei PB ACM YR 2024 K1 generalization K1 graph mining K1 long-tail learning K1 Computing methodologies K1 Machine learning K1 Theory of computation K1 Design and analysis of algorithms K1 Graph algorithms analysis K1 Information systems K1 Information systems applications K1 Data mining SP 3045 OP 3056 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3637528.3671880 DO https://dl.acm.org/doi/10.1145/3637528.3671880 SF ELIB - SuUB Bremen
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