Nadav Dym

10

Papers

21

Total Citations

Papers (10)

Complete Neural Networks for Complete Euclidean Graphs

On the Expressive Power of Sparse Geometric MPNNs

On the Hölder Stability of Multiset and Graph Neural Networks

Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum

NeurIPS 2025arXiv

REVISITING MULTI-PERMUTATION EQUIVARIANCE THROUGH THE LENS OF IRREDUCIBLE REPRESENTATIONS

Monotone and Separable Set Functions: Characterizations and Neural Models

Equivariant Frames and the Impossibility of Continuous Canonicalization

Equivariant Deep Weight Space Alignment

Weisfeiler Leman for Euclidean Equivariant Machine Learning

Position: Future Directions in the Theory of Graph Machine Learning