Publications (4)
Negative Metric Learning for Graphs
Yiyang Zhao, Chengpei Wu, Lilin Zhang +1
Graph contrastive learning (GCL) often suffers from false negatives, which degrades the performance on downstream tasks. The existing methods addressing the false negative issue us…
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
Lilin Zhang, Chengpei Wu, Ning Yang
Existing adversarial training (AT) methods often suffer from incomplete perturbation, meaning that not all non-robust features are perturbed when generating adversarial examples (A…
SPP-CNN: An Efficient Framework for Network Robustness Prediction
Chengpei Wu, Yang Lou, Lin Wang +3
This paper addresses the robustness of a network to sustain its connectivity and controllability against malicious attacks. This kind of network robustness is typically measured by…
CNN-based Prediction of Network Robustness With Missing Edges
Chengpei Wu, Yang Lou, Ruizi Wu +2
Connectivity and controllability of a complex network are two important issues that guarantee a networked system to function. Robustness of connectivity and controllability guarant…