Bechler-Speicher, Maya

8 publications

LoG 2025 Cayley Graph Propagation Jj Wilson, Maya Bechler-Speicher, Petar Veličković

NeurIPS 2025 Depth-Width Tradeoffs for Transformers on Graph Tasks Gilad Yehudai, Clayton Sanford, Maya Bechler-Speicher, Orr Fischer, Ran Gilad-Bachrach, Amir Globerson

ICLRW 2025 Identifying Critical Phases for Disease Onset with Sparse Haematological Biomarkers Andrea Zerio, Maya Bechler-Speicher, Tine Jess, Aleksejs Sazonovs

ICML 2025 Position: Graph Learning Will Lose Relevance Due to Poor Benchmarks Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, Luis Müller, Jan Tönshoff, Antoine Siraudin, Viktor Zaverkin, Michael M. Bronstein, Mathias Niepert, Bryan Perozzi, Mikhail Galkin, Christopher Morris

NeurIPS 2025 Spectral Graph Neural Networks Are Incomplete on Graphs with a Simple Spectrum Snir Hordan, Maya Bechler-Speicher, Gur Lifshitz, Nadav Dym

ICML 2024 Graph Neural Networks Use Graphs When They Shouldn’t Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach, Amir Globerson

AAAI 2024 TREE-G: Decision Trees Contesting Graph Neural Networks Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

NeurIPS 2024 The Intelligible and Effective Graph Neural Additive Network Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach