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A graph G is said to be perfect if
A graph G is said to be perfect if
Background: Cryptocurrency allocation tools that use graph learning are often judged on gross performance and rarely stress-tested under realistic trading frictions. Methods: We evaluate a regime-supervised graph-neural tangency pipeline on 33 large-...