Saket Gurukar
Computer Science · The Ohio State University
Publications
25
Citations
221
Est. group size
~2
Recurring co-author estimate
Active years
13
Publishing since 2014
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.
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
- MultiBiSage
Proceedings of the VLDB Endowment · 2022
- MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest
arXiv (Cornell University) · 2022
- MILE: A Multi-Level Framework for Scalable Graph Embedding
Proceedings of the International AAAI Conference on Web and Social Media · 2021
- Towards Quantifying the Distance between Opinions
Proceedings of the International AAAI Conference on Web and Social Media · 2020
- Time-series as Background Data for Relating Medical Diagnoses Terms
2019
- MILE: A Multi-Level Framework for Scalable Graph Embedding
arXiv (Cornell University) · 2018
- 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
- Yuntian He
Computer Science · The Ohio State University
- Mohammad Al Hasan
Computer Science · Indiana University
- Yuzhao Chen
Computer Science · Purdue University West Lafayette
- Haoteng Yin
Computer Science · Purdue University West Lafayette
- Aditya Vadlamani
Computer Science · The Ohio State University
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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