Quantum invariants have emerged as powerful algebraic and numerical tools that encapsulate the subtleties of topological structures. By drawing on quantum group theory and the constructs of ...
Symmetry and invariance lie at the heart of modern physical theories, serving as guiding principles in our understanding of the natural world. These ideas are central to elucidating conservation laws ...
Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract ...
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