Yonatan Sverdlov

PhD Student | Technion – Israel Institute of Technology
yonatans@campus.technion.ac.il | GitHub | Google Scholar

Yonatan Sverdlov

I am a PhD student under Prof. Nadav Dym. My research focuses on Graph Neural Networks (GNNs), representation-based learning, and geometric aspects such as over-squashing, continuity, and Lipschitz stability.

Publications

Monotone and Separable Monotone and Separable Set Functions: Characterizations and Neural Models
Yonatan Sverdlov, Nadav Dym
Neural Information Processing Systems (NeurIPS 2025)
[Paper] | [Code]
Short-Range Oversquashing Short-Range Oversquashing in Graph Neural Networks
Yaaqov Mishayev, Yonatan Sverdlov, Tal Amir, Nadav Dym
Best paper – Learning on Graphs Conference (LOG 2025)
[Paper] | [Code]
FSW-GNN FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
Yonatan Sverdlov, Yair Davidson, Nadav Dym, Tal Amir
Learning on Graphs Conference (LOG 2025)
[Paper] | [Code] | [BibTeX]
Sparse MPNNs On the Expressive Power of Sparse Geometric MPNNs
Yonatan Sverdlov, Nadav Dym
International Conference on Learning Representations (ICLR 2025)
[Paper] | [Code] | [BibTeX]
Equivariance Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations
Yonatan Sverdlov, Ido Springer, Nadav Dym
International Conference on Learning Representations (ICLR 2025)
[Paper] | [Code] | [BibTeX]