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1 Ergebnisse
1
What Really Matters for Graph Contrastive Learning-Based Re..:
, In:
2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI)
,
Zhou, Hongwei
;
Gao, Min
;
Wang, Zongwei
... - p. 160-165 , 2023
Link:
https://doi.org/10.1109/ICTAI59109.2023.00031
RT T1 <cTitle>2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI)</cTitle>: T1 <Title>What Really Matters for Graph Contrastive Learning-Based Recommendations? A Unified Learning Strategy</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10356458&Exemplar=1&LAN=DE A1 Zhou, Hongwei A1 Gao, Min A1 Wang, Zongwei A1 Guo, Linxin A1 Tao, Yinghui A1 Li, Wentao YR 2023 SN 2375-0197 K1 Training K1 Representation learning K1 Perturbation methods K1 Learning (artificial intelligence) K1 Benchmark testing K1 Data augmentation K1 Task analysis K1 contrastive learning K1 recommendation K1 representation learning SP 160 OP 165 LK http://dx.doi.org/https://doi.org/10.1109/ICTAI59109.2023.00031 DO https://doi.org/10.1109/ICTAI59109.2023.00031 SF ELIB - SuUB Bremen
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