116 citations · 271 across the 5 of their papers we have counts for
4 papers · 1 filter
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation
Shuang Zhou, Xiao Huang, Ninghao Liu +3
Graph anomaly detection (GAD) is a vital task since even a few anomalies can pose huge threats to benign users. Recent semi-supervised GAD methods, which can effectively leverage t…
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation
Shuang Zhou, Xiao Huang, Ninghao Liu +2
Graph anomaly detection (GAD) is a vital task since even a few anomalies can pose huge threats to benign users. Recent semi-supervised GAD methods, which can effectively leverage t…
Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance
Sitong Mao, Jiaxin Chen, Xiao Shen +1
Domain adaptation refers to the learning scenario that a model learned from the source data is applied on the target data which have the same categories but different distribution.…
Transfer Prototype-based Fuzzy Clustering
Zhaohong Deng, Yizhang Jiang, Fu-Lai Chung +3
The traditional prototype based clustering methods, such as the well-known fuzzy c-mean (FCM) algorithm, usually need sufficient data to find a good clustering partition. If the av…