A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening. - Guy Bar-Shalom; Yam Eitan; Fabrizio Frasca; Haggai Maron (NeurIPS, 2024)

Topological Blind Spots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity. - Yam Eitan; Yoav Gelberg; Guy Bar-Shalom; Fabrizio Frasca; Michael M. Bronstein; Haggai Maron (CoRR, 2024)

Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity. - Yam Eitan; Yoav Gelberg; Guy Bar-Shalom; Fabrizio Frasca; Michael M. Bronstein; Haggai Maron (ICLR, 2025)

Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality. - Joshua Southern; Yam Eitan; Guy Bar-Shalom; Michael M. Bronstein; Haggai Maron; Fabrizio Frasca (CoRR, 2025)

GradMetaNet: An Equivariant Architecture for Learning on Gradients. - Yoav Gelberg; Yam Eitan; Aviv Navon; Aviv Shamsian; Theo Putterman; Michael M. Bronstein; Haggai Maron (CoRR, 2025)