Maya Bechler-Speicher

According to our database, Maya Bechler-Speicher authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum.

Snir Hordan, Maya Bechler-Speicher, Gur Lifshitz, Nadav Dym

CoRR, June, 2025

Interpretable Graph Learning Over Sets of Temporally-Sparse Data.

Andrea Zerio, Maya Bechler-Speicher, Maor Huri, Marie Vibeke Vestergaard, Ran Gilad-Bachrach, Tine Jess, Samir Bhatt, Aleksejs Sazonovs

CoRR, May, 2025

Identifying Critical Phases for Disease Onset with Sparse Haematological Biomarkers.

Andrea Zerio, Maya Bechler-Speicher, Tine Jess, Aleksejs Sazonovs

CoRR, March, 2025

Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers.

Gilad Yehudai, Clayton Sanford, Maya Bechler-Speicher, Orr Fischer, Ran Gilad-Bachrach, Amir Globerson

CoRR, March, 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

CoRR, February, 2025

Towards Invariance to Node Identifiers in Graph Neural Networks.

Maya Bechler-Speicher, Moshe Eliasof, Carola-Bibiane Schönlieb, Ran Gilad-Bachrach, Amir Globerson

CoRR, February, 2025

2024

On the Utilization of Unique Node Identifiers in Graph Neural Networks.

Maya Bechler-Speicher, Moshe Eliasof, Carola-Bibiane Schönlieb, Ran Gilad-Bachrach, Amir Globerson

CoRR, 2024

A General Recipe for Contractive Graph Neural Networks - Technical Report.

Maya Bechler-Speicher, Moshe Eliasof

CoRR, 2024

The Intelligible and Effective Graph Neural Additive Networks.

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

CoRR, 2024

The Intelligible and Effective Graph Neural Additive Network.

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Cayley Graph Propagation.

JJ Wilson, Maya Bechler-Speicher, Petar Velickovic

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

Graph Neural Networks Use Graphs When They Shouldn't.

Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach, Amir Globerson

Proceedings of the Forty-first International Conference on Machine Learning, 2024

TREE-G: Decision Trees Contesting Graph Neural Networks.

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Graph Trees with Attention.

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

CoRR, 2022

2019

A Crossing Lemma for Families of Jordan Curves with a Bounded Intersection Number.

Maya Bechler-Speicher

CoRR, 2019