PPaperPicks

Fabrizio Frasca

8 papers at tracked venues · 7 at CORE A* · active 2024–2026

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Venues

ICML ×3NeurIPS ×2AAAI ×1ECML-PKDD ×1ICLR ×1

Frequent coauthors

Haggai Maron
×7
Guy Bar-Shalom
×5
Michael M. Bronstein
×4
Yam Eitan
×3
Derek Lim
×2
Yoav Gelberg
×2
Yftah Ziser
×2
Yaniv Galron
×2
Christopher Morris
×2
Ran El-Yaniv
×1
Gal Chechik
×1
Joshua Southern
×1

Papers

  1. Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions
    AAAI 2026 ·
    Guy Bar-Shalom
    , Fabrizio Frasca,
    Derek Lim
    ,
    Yoav Gelberg
    ,
    Yftah Ziser
    ,
    Ran El-Yaniv
    ,
    Gal Chechik
    ,
    Haggai Maron
  2. Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality
    ICML 2025 ·
    Joshua Southern
    ,
    Yam Eitan
    ,
    Guy Bar-Shalom
    ,
    Michael M. Bronstein
    ,
    Haggai Maron
    , Fabrizio Frasca
  3. Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT
    NeurIPS 2025 ·
    Guy Bar-Shalom
    , Fabrizio Frasca,
    Yaniv Galron
    ,
    Yftah Ziser
    ,
    Haggai Maron
  4. 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
  5. Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
    ICLR 2025 ·
    Yam Eitan
    ,
    Yoav Gelberg
    ,
    Guy Bar-Shalom
    , Fabrizio Frasca,
    Michael M. Bronstein
    ,
    Haggai Maron
  6. Understanding and Improving Laplacian Positional Encodings for Temporal GNNs
    ECML-PKDD 2025 ·
    Yaniv Galron
    , Fabrizio Frasca,
    Haggai Maron
    ,
    Eran Treister
    ,
    Moshe Eliasof
  7. A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
    NeurIPS 2024 ·
    Guy Bar-Shalom
    ,
    Yam Eitan
    , Fabrizio Frasca,
    Haggai Maron
  8. Position: Future Directions in the Theory of Graph Machine Learning
    ICML 2024 ·
    Christopher Morris
    , Fabrizio Frasca,
    Nadav Dym
    ,
    Haggai Maron
    ,
    Ismail Ilkan Ceylan
    ,
    Ron Levie
    ,
    Derek Lim
    ,
    Michael M. Bronstein
    ,
    Martin Grohe
    ,
    Stefanie Jegelka