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1 Ergebnisse
1
MARIO: Model Agnostic Recipe for Improving OOD Generalizati..:
, In:
Proceedings of the ACM Web Conference 2024
,
Zhu, Yun
;
Shi, Haizhou
;
Zhang, Zhenshuo
. - p. 300-311 , 2024
Link:
https://dl.acm.org/doi/10.1145/3589334.3645322
RT T1
Proceedings of the ACM Web Conference 2024
: T1
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning
UL https://suche.suub.uni-bremen.de/peid=acm-3645322&Exemplar=1&LAN=DE A1 Zhu, Yun A1 Shi, Haizhou A1 Zhang, Zhenshuo A1 Tang, Siliang PB ACM YR 2024 K1 domain generalization K1 graph neural networks K1 graph representation learning K1 pre-training K1 self-supervised learning K1 Information systems K1 Information systems applications K1 Data mining K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning theory K1 Unsupervised learning and clustering SP 300 OP 311 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3589334.3645322 DO https://dl.acm.org/doi/10.1145/3589334.3645322 SF ELIB - SuUB Bremen
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