AIBullisharXiv – CS AI · 15h ago7/10
🧠
Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling
Researchers introduce MP-SSM, a novel framework that integrates State-Space Model principles into message-passing neural networks for improved graph learning. The approach achieves permutation equivariance, computational efficiency, and long-range information propagation while enabling theoretical analysis of gradient flow and information dynamics across deep networks.