HypNO: a graph-based neural operator for scalar hyperbolic conservation laws uses physics-informed message passing on a space-time graph of finite-volume cells
Read the original at arxiv.org→arXiv:2607.20541v1 Announce Type: new Abstract: We introduce HypNO, a graph-based neural operator for scalar hyperbolic conservation laws. HypNO operates directly on a space-time graph of finite-volume cells and...
Original headline: "HypNO: A Graph-Based Neural Operator with Physics-Informed Message Passing for Hyperbolic Conservation Laws"
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- Jul 24, 04:00 UTC arXiv cs.LG lead source HypNO: A Graph-Based Neural Operator with Physics-Informed Message Passing for Hyperbolic Conservation Laws