4 citations · 9 across the 5 of their papers we have counts for
5 papers
Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs
Haibin Zheng, Haiyang Xiong, Jinyin Chen +2
Graph neural network (GNN) with a powerful representation capability has been widely applied to various areas, such as biological gene prediction, social recommendation, etc. Recen…
Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection
Haibin Zheng, Haiyang Xiong, Haonan Ma +2
Link prediction, inferring the undiscovered or potential links of the graph, is widely applied in the real-world. By facilitating labeled links of the graph as the training data, n…
TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors
Jinyin Chen, Haiyang Xiong, Dunjie Zhang +2
Recently, phishing scams have posed a significant threat to blockchains. Phishing detectors direct their efforts in hunting phishing addresses. Most of the detectors extract target…
Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction
Jinyin Chen, Haiyang Xiong, Haibin Zheng +3
Dynamic link prediction (DLP) makes graph prediction based on historical information. Since most DLP methods are highly dependent on the training data to achieve satisfying predict…
EGC2: Enhanced Graph Classification with Easy Graph Compression
Jinyin Chen, Haiyang Xiong, Haibin Zhenga +4
Graph classification is crucial in network analyses. Networks face potential security threats, such as adversarial attacks. Some defense methods may trade off the algorithm complex…