Ben Finkelshtein

University of Oxford. Computer Science Department.

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Passionate researcher and PhD candidate at the University of Oxford, specializing in Geometric Deep Learning. Supervised by DeepMind Chair of AI Prof. Michael M. Bronstein and Prof. Ismail Ilkan Ceylan. With professional experience in research at Microsoft and Google. Always eager to explore innovative solutions at the intersection of theory and application.

CV:

news

Jan 25, 2026 Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference is selected for an ORAL at ICLR 2026
Jan 25, 2026 Efficient Learning on Large Graphs using a Densifying Regularity Lemma is accepted to ICLR 2026
Sep 18, 2025 Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models is accepted to NeurIPS 2025
Sep 15, 2025 Started an internship at Google Research – creating the next large Graph Foundation Model!
Jun 13, 2025 Started an internship at Microsoft Research US HQ on the capabilities of LLMs in processing graph information

latest posts

Jan 16, 2024 Graph & Geometric ML in 2024: Where We Are and What's Next (Part I - Theory & Architectures) | Towards Data Science
Dec 06, 2023 Page not found | Towards Data Science

selected publications

  1. cognn.jpeg
    Cooperative Graph Neural Networks
    Ben Finkelshtein, Xingyue Huang, Michael Bronstein, and 1 more author
    ICML, 2023
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    Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
    Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, and 9 more authors
    ICML, 2025
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  3. equivariance.png
    Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models
    Ben Finkelshtein, İsmail İlkan Ceylan, Michael Bronstein, and 1 more author
    NeurIPS, 2025
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  4. graph_llm.png
    Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference
    Ben Finkelshtein, Silviu Cucerzan, Sujay Kumar Jauhar, and 1 more author
    ICLR, 2026
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