| Mile: A multi-level framework for scalable graph embedding J Liang, S Gurukar, S Parthasarathy Proceedings of the International AAAI Conference on Web and Social Media 15 …, 2021 | 95 | 2021 |
| Commit: A scalable approach to mining communication motifs from dynamic networks S Gurukar, S Ranu, B Ravindran Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015 | 81 | 2015 |
| Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress S Gurukar, P Vijayan, B Ravindran, A Srinivasan, G Bajaj, C Cai, ... | 24* | 2022 |
| FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification S Current, Y He, S Gurukar, S Parthasarathy Equity and Access in Algorithms, Mechanisms, and Optimization, 1-14, 2022 | 12* | 2022 |
| Twitter watch: Leveraging social media to monitor and predict collective-efficacy of neighborhoods M Keymanesh, S Gurukar, B Boettner, C Browning, C Calder, ... Complex Networks XI: Proceedings of the 11th Conference on Complex Networks …, 2020 | 9 | 2020 |
| Distmile: a distributed multi-level framework for scalable graph embedding Y He, S Gurukar, P Kousha, H Subramoni, DK Panda, S Parthasarathy 2021 IEEE 28th International Conference on High Performance Computing, Data …, 2021 | 8 | 2021 |
| Defect prediction operation A Durga, S Gurukar US Patent 11,086,761, 2021 | 8 | 2021 |
| A machine learning model for nowcasting epidemic incidence SY Sahai, S Gurukar, WR KhudaBukhsh, S Parthasarathy, GA Rempała Mathematical Biosciences 343, 108677, 2022 | 7 | 2022 |
| Towards quantifying the distance between opinions S Gurukar, D Ajwani, S Dutta, J Lauri, S Parthasarathy, A Sala Proceedings of the International AAAI Conference on Web and Social Media 14 …, 2020 | 5 | 2020 |
| MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest S Gurukar, N Pancha, A Zhai, E Kim, S Hu, S Parthasarathy, C Rosenberg, ... arXiv preprint arXiv:2205.10666, 2022 | 4 | 2022 |
| Locationtrails: A federated approach to learning location embeddings S Gurukar, S Parthasarathy, R Ramnath, C Calder, S Moosavi Proceedings of the 2021 IEEE/ACM International Conference on Advances in …, 2021 | 4 | 2021 |
| Temporal analysis of telecom call graphs S Gurukar, B Ravindran 2014 Sixth International Conference on Communication Systems and Networks …, 2014 | 4 | 2014 |
| WebMILE: democratizing network representation learning at scale Y He, Y Zhang, S Gurukar, S Parthasarathy Proceedings of the VLDB Endowment 15 (12), 2022 | 3 | 2022 |
| FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning Y He, S Gurukar, S Parthasarathy Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms …, 2023 | 2 | 2023 |
| A generic approach to scale graph embedding methods J Liang, S Gurukar, S Parthasarathy Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 2 | 2018 |
| Efficient Fair Graph Representation Learning Using a Multi-level Framework Y He, S Gurukar, S Parthasarathy Companion Proceedings of the ACM Web Conference 2023, 298-301, 2023 | 1 | 2023 |
| Leveraging network representation learning and community detection for analyzing the activity profiles of adolescents S Gurukar, B Boettner, C Browning, C Calder, S Parthasarathy Applied Network Science 7 (1), 1-24, 2022 | 1 | 2022 |
| PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks S Gurukar, SB Venkatakrishnan, B Ravindran, S Parthasarathy arXiv preprint arXiv:2306.14357, 2023 | | 2023 |
| Network Representation Learning: Consolidation and Renewed Bearing S Gurukar The Ohio State University, 2023 | | 2023 |
| Defect Prediction Operation A Durga, S Gurukar US Patent App. 17/365,145, 2021 | | 2021 |
Srinivasan ParthasarathyProfessor of Computer Science and Engineering, The Ohio State UniversityVerified email at cse.ohio-state.edu
