PPaperPicks

Maya Bechler-Speicher

6 papers at tracked venues · 6 at CORE A* · active 2024–2025

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Venues

NeurIPS ×3ICML ×2AAAI ×1

Frequent coauthors

Ran Gilad-Bachrach
×4
Amir Globerson
×4
Gilad Yehudai
×1
Clayton Sanford
×1
Orr Fischer
×1
Ben Finkelshtein
×1
Fabrizio Frasca
×1
Luis Müller
×1
Jan Tönshoff
×1
Antoine Siraudin
×1
Viktor Zaverkin
×1
Michael M. Bronstein
×1

Papers

  1. Depth-Width Tradeoffs for Transformers on Graph Tasks
    NeurIPS 2025 ·
    Gilad Yehudai
    ,
    Clayton Sanford
    , Maya Bechler-Speicher,
    Orr Fischer
    ,
    Ran Gilad-Bachrach
    ,
    Amir Globerson
  2. Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
    ICML 2025 · 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
  3. Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum
    NeurIPS 2025 ·
    Snir Hordan
    , Maya Bechler-Speicher,
    Gur Lifshitz
    ,
    Nadav Dym
  4. Graph Neural Networks Use Graphs When They Shouldn't
    ICML 2024 · Maya Bechler-Speicher,
    Ido Amos
    ,
    Ran Gilad-Bachrach
    ,
    Amir Globerson
  5. TREE-G: Decision Trees Contesting Graph Neural Networks
    AAAI 2024 · Maya Bechler-Speicher,
    Amir Globerson
    ,
    Ran Gilad-Bachrach
  6. The Intelligible and Effective Graph Neural Additive Network
    NeurIPS 2024 · Maya Bechler-Speicher,
    Amir Globerson
    ,
    Ran Gilad-Bachrach