Abstract: When it comes to the marriage of graph neural networks (GNNs) and model extraction attacks, the deployment of GNNs within Machine Learning as a Service (MLaaS) through a publicly ...
Abstract: Graph invariant learning (GIL) seeks invariant relations between graphs and labels under distribution shifts. Recent works try to extract an invariant subgraph to improve out-of-distribution ...
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