Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract ...
One of the most interesting features of the human brain is its ability to extract general principles from specific cases. According to many philosophers and psychologists, generalization is an ...
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