Scholar
Ben Finkelshtein
Google Scholar ID: goWM7VwAAAAJ
PhD student, University of Oxford
Citations & Impact
Citations
160
H-index
6
i10-index
5
Publications
13
Co-authors
0
Publications
Resume
Academic Achievements
- Published several papers including 'Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models' (NeurIPS 2025) and 'Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks' (ICML 2025).
Research Experience
- Professional experience in research at Microsoft and Google, working on creating the next large Graph Foundation Model and studying the capabilities of LLMs in processing graph information.
Education
- PhD candidate at the Computer Science Department, University of Oxford, supervised by Prof. Michael M. Bronstein and Prof. Ismail Ilkan Ceylan.
Background
- Passionate researcher and PhD candidate at the University of Oxford, specializing in Geometric Deep Learning. Interested in exploring innovative solutions at the intersection of theory and application.
Miscellany
- Best to contact by mail or LinkedIn.