| 2026 | WSDM | HeteroMILE: a Multi-Level Graph Representation Learning framework for Heterogeneous Graphs. | Yue Zhang, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy |
| 2025 | ICDM | BLB-HGNN: Bag of Little Bootstraps for Training Heterogeneous GNNs. | Aditya T. Vadlamani, Sama Salarian, Saket Gurukar, Srinivasan Parthasarathy |
| 2023 | WWW | Efficient Fair Graph Representation Learning Using a Multi-level Framework. | Yuntian He, Saket Gurukar, Srinivasan Parthasarathy |
| 2021 | HiPC | DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding. | Yuntian He, Saket Gurukar, Pouya Kousha, Hari Subramoni, Dhabaleswar K. Panda, Srinivasan Parthasarathy |
| 2021 | ICWSM | MILE: A Multi-Level Framework for Scalable Graph Embedding. | Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy |
| 2020 | ICWSM | Towards Quantifying the Distance between Opinions. | Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala |
| 2015 | SIGMOD | COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks. | Saket Gurukar, Sayan Ranu, Balaraman Ravindran |
| 2014 | COMSNETS | Temporal analysis of telecom call graphs. | Saket Gurukar, Balaraman Ravindran |