GIST: Gauge-Invariant Spectral Transformers for Scalable Graph Neural Operators
arXiv:2603.16849v2 Announce Type: replace
Abstract: Adapting transformer positional encodings to graphs and meshes faces a fundamental tension: exact spectral methods require cubic-complexity eigendecomposition and inadvertently break gauge invariance…