Yuming Ai

2 accepted papers

2026

PAGE: A Unified Approach for Federated Graph Unlearning

Yuming Ai, Xunkai Li, Jiaqi Chao, Bowen Fan, Zhengyu Wu, Yinlin Zhu +2

AAAI 2026technical

Federated graph learning (FGL) is a distributive framework for graph representation learning that prioritizes privacy preservation. The right to be forgotten embodies the ethical principle of prioritizing user autonomy over data usage. In the context of FGL, upholding this right requires the method

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2025

OpenGU: A Comprehensive Benchmark for Graph Unlearning

Bowen Fan, Yuming Ai, Xunkai Li, Zhilin Guo, Zhu Lei, Guang Zeng +2

NeurIPS 2025poster

Graph Machine Learning is essential for understanding and analyzing relational data. However, privacy-sensitive applications demand the ability to efficiently remove sensitive information from trained graph neural networks (GNNs), avoiding the unnecessary time and space overhead caused by retraining…

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