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GraphTTA: Test Time Adaptation on Graph Neural Networks
In this paper, we present a novel test time adaptation strategy named Graph Adversarial Pseudo Group Contrast (GAPGC), for graph neural networks TTA, to better adapt to the Out Of Distribution (OOD) test data.
Preventing Over-Smoothing for Hypergraph Neural Networks
In recent years, hypergraph learning has attracted great attention due to its capacity in representing complex and high-order relationships.
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