Causal Set Theory (CST) offers a compelling approach to reconciling quantum theory and general relativity by postulating that spacetime, at its most fundamental level, is discrete rather than ...
Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract ...
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