AI RESEARCH
Learning Laplacian Eigenspace with Mass-Aware Neural Operators on Point Clouds
arXiv CS.LG
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ArXi:2605.24390v1 Announce Type: new The eigendecomposition of the Laplace--Beltrami Operator (LBO) is fundamental to geometric analysis, yet computing its low-frequency eigenmodes remains a significant bottleneck due to the high cost of iterative solvers on large-scale data. To amortize this cost, we