65 citations · 169 across the 13 of their papers we have counts for
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cs.LG2025★ 3 cited
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection
Jing Ren, Mingliang Hou, Zhixuan Liu +1
Graph anomaly detection is a popular and vital task in various real-world scenarios, which has been studied for several decades. Recently, many studies extending deep learning-base…
cs.LG2022
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges
Jing Ren, Feng Xia, Azadeh Noori Hoshyar +1
Anomaly analytics is a popular and vital task in various research contexts, which has been studied for several decades. At the same time, deep learning has shown its capacity in so…
cs.LG2022★ 1 cited
Deep Graph Learning for Anomalous Citation Detection
Jiaying Liu, Feng Xia, Xu Feng +2
Anomaly detection is one of the most active research areas in various critical domains, such as healthcare, fintech, and public security. However, little attention has been paid to…