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GraphEraser: A Novel Machine Unlearning Framework for Graph Data

GraphEraser is a novel machine unlearning framework tailored to graph data. It proposes two novel graph partition algorithms and a learning-based aggregation method to improve the unlearning efficiency and model utility.

Data and Resources

Cite this as

Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang (2024). Dataset: GraphEraser: A Novel Machine Unlearning Framework for Graph Data. https://doi.org/10.57702/oamc6bro

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.1145/3548606.3559352
Author Min Chen
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Zhikun Zhang
Tianhao Wang
Michael Backes
Mathias Humbert
Yang Zhang