Sign inGet started
Paper · arXiv

Beyond Arbitrary Geometry: Topology Generalization In neural PDE Operators

Neural operators that accept arbitrary meshes are often treated as geometry-general, but unseen domain topology changes both the invariant and decaying subspaces of a PDE operator. We use Hodge heat flow as a controlled lens on this distinction and introduce TopoBox-3D, where tunnels and cavities vary Betti support while the exact Hodge decomposition separates the harmonic kernel from the positive spectrum. Across six architectures, models that infer topology implicitly suffer excess matched degradation in 37 of 45 model--task topology-OOD cells, yet cases that change harmonic dimension are not more strongly penalized on average. The dominant difficulty is instead spectral: the initial Ra...

AuthorsPeiyao Chen, Zhouyuan Xu, Ran Ding et al.
Primary categorycs.LG
Published5 September 2026
Last updated at source13 September 2026
cs.LG
Embed this entry
<iframe src="https://silytics.si/embed/item/b3ba47bb-0a46-466a-8469-802b0887534a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Connected in the knowledge graph

Explore this entry in the graph

Models and datasets referencing this paper

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.