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GIST: Gauge-Invariant Spectral Transformers for Scalable Graph Neural Operators
GIST proposes gauge-invariant spectral transformers that use efficient spectral embeddings to achieve linear complexity and provable discretization-invariance, setting state-of-the-art on large-scale mesh benchmarks.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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lenient 3/5
medium 10/10
strict 2/5