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arXiv Machine Learning By Megha Khosla

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks

Read the original on arXiv Machine Learning →

arXiv:2601. 17130v2 Announce Type: replace Abstract: Graph neural networks (GNNs) are widely used for tasks such as node classification and link prediction, but their use in sensitive settings raises concerns about training-data leakage.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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