most citedMulti-Cause Deconfounding for Recommender Systems with Latent Confounders

8 citations · 12 across the 6 of their papers we have counts for

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cs.LG2024★ 4 cited

Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation

Chengyu Li, Debo Cheng, Guixian Zhang +2

Graph Neural Networks (GNNs) have demonstrated strong performance in graph representation learning across various real-world applications. However, they often produce biased predic…

cs.LG2024

Community-Centric Graph Unlearning

Yi Li, Shichao Zhang, Guixian Zhang +1

Graph unlearning technology has become increasingly important since the advent of the `right to be forgotten' and the growing concerns about the privacy and security of artificial…