1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing
Yezi Liu, Prathyush Poduval, Wenjun Huang +3
Graph unlearning is a crucial approach for protecting user privacy by erasing the influence of user data on trained graph models. Recent developments in graph unlearning methods ha…
cs.LG2024★ 1 cited
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
Yezi Liu, Yanning Shen
Training graph neural networks (GNNs) on large-scale graphs can be challenging due to the high computational expense caused by the massive number of nodes and high-dimensional noda…