NEO is a mass-aware neural operator that learns the invariant low-frequency eigenspace of the LBO on point clouds for fast spectral geometry.
For the NEO-based method, we freeze the backbone and only train the SIGGRAPH Conference Papers ’26, July 19–23, 2026, Los Angeles, CA, USA
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Learning Laplacian Eigenspace with Mass-Aware Neural Operators on Point Clouds
NEO is a mass-aware neural operator that learns the invariant low-frequency eigenspace of the LBO on point clouds for fast spectral geometry.