LabCompass

Saket Gurukar

Computer Science · The Ohio State University

Mid career · publishing since 2014

Publications

25

Citations

221

Est. group size

~2

Recurring co-author estimate

Active years

13

Publishing since 2014

Research summary
AI-generated

Saket Gurukar works on graph-based machine learning, including methods for representing and embedding large networks (such as graph neural networks), recommendation systems built on multiple related networks (as used in web-scale platforms like Pinterest), and analyzing complex networks such as opinion data and medical diagnosis relationships. This research is generally aimed at making large-scale network data more efficient to process and more useful for applications like recommendations and social/medical data analysis.

Graph neural networks and graph embeddingRecommender systems using network dataComplex network analysisWeb-scale machine learning applicationsBioinformatics/medical data networks

Publication output grew from 2018 through a peak in 2022, then has gradually declined through 2025-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.8/year recently
172018: 1 publication182019: 2 publications192020: 2 publications202021: 4 publications212022: 6 publications6222023: 4 publications232024: 2 publications242025: 1 publication252026: 1 publication26
Recent publications
Publishes in
  • arXiv (Cornell University)×6
  • Proceedings of the VLDB Endowment×2
  • Proceedings of the International AAAI Conference on Web and Social Media×2
  • Springer proceedings in complexity×1
  • Applied Network Science×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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