Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...
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: Silent videos often lack important audio cues due to technical issues or intentional muting, which can limit their usefulness in fields like forensics, surveillance, and archival research.
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