25 citations · 27 across the 3 of their papers we have counts for
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cs.LG2022
Behavioral graph fraud detection in E-commerce
Hang Yin, Zitao Zhang, Zhurong Wang +5
In e-commerce industry, graph neural network methods are the new trends for transaction risk modeling.The power of graph algorithms lie in the capability to catch transaction linki…
cs.LG2022★ 25 cited
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Yilmazcan Ozyurt, Stefan Feuerriegel, Ce Zhang
Unsupervised domain adaptation (UDA) aims at learning a machine learning model using a labeled source domain that performs well on a similar yet different, unlabeled target domain.…