Maya Bechler-Speicher

23 papers A* 3Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Graph Meta-Network for Learning on Kolmogorov-Arnold Networks.
CoRR
Guy Bar-Shalom, Ami Tavory, Itay Evron, Maya Bechler-Speicher, Ido Guy, Haggai Maron
2026 J jnl
Billion-Scale Graph Foundation Models.
CoRR
Maya Bechler-Speicher, Yoel Gottlieb, Andrey Isakov, David Abensur, Ami Tavory, Daniel Haimovich, Ido Guy, Udi Weinsberg
2026 J jnl
Improving LLM Predictions via Inter-Layer Structural Encoders.
CoRR
Tom Ulanovski, Eyal Blyachman, Maya Bechler-Speicher
2025 J jnl
Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers.
CoRR
Gilad Yehudai, Clayton Sanford, Maya Bechler-Speicher, Orr Fischer, Ran Gilad-Bachrach, Amir Globerson
2025 J jnl
Graph Mixing Additive Networks.
CoRR
Maya Bechler-Speicher, Andrea Zerio, Maor Huri, Marie Vibeke Vestergaard, Ran Gilad-Bachrach, Tine Jess, Samir Bhatt, Aleksejs Sazonovs
2025 J jnl
GraphBench: Next-generation graph learning benchmarking.
CoRR
Timo Stoll, Chendi Qian, Ben Finkelshtein, Ali Parviz, Darius Weber, Fabrizio Frasca, Hadar Shavit, Antoine Siraudin, Arman Mielke, Marie Anastacio, Erik Müller, Maya Bechler-Speicher, Michael M. Bronstein, Mikhail Galkin, Holger H. Hoos, Mathias Niepert, Bryan Perozzi, Jan Tönshoff, Christopher Morris
2025 J jnl
Identifying Critical Phases for Disease Onset with Sparse Haematological Biomarkers.
CoRR
Andrea Zerio, Maya Bechler-Speicher, Tine Jess, Aleksejs Sazonovs
2025 J jnl
Interpretable Graph Learning Over Sets of Temporally-Sparse Data.
CoRR
Andrea Zerio, Maya Bechler-Speicher, Maor Huri, Marie Vibeke Vestergaard, Ran Gilad-Bachrach, Tine Jess, Samir Bhatt, Aleksejs Sazonovs
2025 — conf
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks.
ICML (Position Papers)
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
2025 J jnl
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks.
CoRR
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
2025 J jnl
Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum.
CoRR
Snir Hordan, Maya Bechler-Speicher, Gur Lifshitz, Nadav Dym
2025 J jnl
Towards Invariance to Node Identifiers in Graph Neural Networks.
CoRR
Maya Bechler-Speicher, Moshe Eliasof, Carola-Bibiane Schönlieb, Ran Gilad-Bachrach, Amir Globerson
2024 J jnl
A General Recipe for Contractive Graph Neural Networks - Technical Report.
CoRR
Maya Bechler-Speicher, Moshe Eliasof
2024 — conf
Cayley Graph Propagation.
LoG
JJ Wilson, Maya Bechler-Speicher, Petar Velickovic
2024 J jnl
Cayley Graph Propagation.
CoRR
JJ Wilson, Maya Bechler-Speicher, Petar Velickovic
2024 A* conf
Graph Neural Networks Use Graphs When They Shouldn't.
ICML
Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach, Amir Globerson
2024 J jnl
On the Utilization of Unique Node Identifiers in Graph Neural Networks.
CoRR
Maya Bechler-Speicher, Moshe Eliasof, Carola-Bibiane Schönlieb, Ran Gilad-Bachrach, Amir Globerson
2024 A* conf
TREE-G: Decision Trees Contesting Graph Neural Networks.
AAAI
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
2024 A* conf
The Intelligible and Effective Graph Neural Additive Network.
NeurIPS
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
2024 J jnl
The Intelligible and Effective Graph Neural Additive Networks.
CoRR
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
2023 J jnl
Graph Neural Networks Use Graphs When They Shouldn't.
CoRR
Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach, Amir Globerson
2022 J jnl
Graph Trees with Attention.
CoRR
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
2019 J jnl
A Crossing Lemma for Families of Jordan Curves with a Bounded Intersection Number.
CoRR
Maya Bechler-Speicher