most citedGenerative Graph Neural Networks for Link Prediction

5 citations · 8 across the 4 of their papers we have counts for

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cs.SI2024

GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning

Tao Wu, Xinwen Cao, Chao Wang +5

Graph Neural Networks (GNNs) have demonstrated significant application potential in various fields. However, GNNs are still vulnerable to adversarial attacks. Numerous adversarial…

cs.SI2022★ 5 cited

Generative Graph Neural Networks for Link Prediction

Xingping Xian, Tao Wu, Xiaoke Ma +5

Inferring missing links or detecting spurious ones based on observed graphs, known as link prediction, is a long-standing challenge in graph data analysis. With the recent advances…