262 citations · 1.1k across the 41 of their papers we have counts for
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cs.LG2024
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs
Jiajun Tan, Fei Sun, Ruichen Qiu +2
As concerns over data privacy intensify, unlearning in Graph Neural Networks (GNNs) has emerged as a prominent research frontier in academia. This concept is pivotal in enforcing t…
cs.LG2023★ 1 cited
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
Yige Yuan, Bingbing Xu, Bo Lin +4
The generalization of neural networks is a central challenge in machine learning, especially concerning the performance under distributions that differ from training ones. Current…
cs.LG2022★ 1 cited
LegoNet: A Fast and Exact Unlearning Architecture
Sihao Yu, Fei Sun, Jiafeng Guo +2
Machine unlearning aims to erase the impact of specific training samples upon deleted requests from a trained model. Re-training the model on the retained data after deletion is an…