2026
Sheaf Neural Networks on SPD Manifolds: Second-Order Geometric Representation Learning
ICML 2026poster
Graph neural networks face two fundamental challenges rooted in the linear structure of Euclidean vector spaces: (1) Current architectures represent geometry through vectors (directions, gradients), yet many tasks require matrix-valued representations that capture relationships between directions—su…