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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.

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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

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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
More Authors	Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang