$\mathbb{SL}(n)$ Representation Learning: An Intrinsic Mixed-Curvature Space with Higher Curvature Capacities and Deeper Order-Aware Composition
The $\mathbb{SL}(n)$ space is introduced, a representation geometry defined by the simple $\det(A)=1$ constraint and a left invariant Schatten-$p$ Finsler structure that consistently outperforms a broad range of representation manifold baselines across graph benchmarks at different scales.
Xing-Run Li, Yusuke Mukuta, Xin Yang et al.
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