Yonatan Sverdlov

I am a PhD student at the Technion – Israel Institute of Technology under the supervision of Prof. Nadav Dym. My research focuses on Graph Neural Networks (GNNs), representation-based learning, and geometric aspects such as oversquashing, oversmoothing, continuity, and Lipschitz stability.

Email / GitHub / Google Scholar / LinkedIn

Research

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

Teaching

GTIIT (Guangdong Technion–Israel Institute of Technology)

Lecturer and Tutor.