| Graphsig: A scalable approach to mining significant subgraphs in large graph databases S Ranu, AK Singh 2009 IEEE 25th International Conference on Data Engineering, 844-855, 2009 | 224 | 2009 |
| Debunking the myths of influence maximization: An in-depth benchmarking study A Arora, S Galhotra, S Ranu Proceedings of the 2017 ACM international conference on management of data …, 2017 | 205 | 2017 |
| Graph querying, graph motif mining and the discovery of clusters AK Singh, H He, T Can, O Camoglu | 196* | 2007 |
| Gcomb: Learning budget-constrained combinatorial algorithms over billion-sized graphs S Manchanda, A Mittal, A Dhawan, S Medya, S Ranu, A Singh Advances in Neural Information Processing Systems 33, 20000-20011, 2020 | 192* | 2020 |
| Indexing and matching trajectories under inconsistent sampling rates S Ranu, P Deepak, AD Telang, P Deshpande, S Raghavan 2015 IEEE 31st International conference on data engineering, 999-1010, 2015 | 152 | 2015 |
| Recommendations to boost content spread in social networks V Chaoji, S Ranu, R Rastogi, R Bhatt Proceedings of the 21st international conference on World Wide Web, 529-538, 2012 | 150 | 2012 |
| Graph querying, graph motif mining and the discovery of clusters AK Singh, H He, S Ranu US Patent 8,396,884, 2013 | 101 | 2013 |
| Graphgen: A scalable approach to domain-agnostic labeled graph generation N Goyal, HV Jain, S Ranu Proceedings of The Web Conference 2020, 1253-1263, 2020 | 94 | 2020 |
| 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 | 87 | 2015 |
| Route recommendations for idle taxi drivers: Find me the shortest route to a customer! N Garg, S Ranu Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 81 | 2018 |
| Inferring uncertain trajectories from partial observations P Banerjee, S Ranu, S Raghavan 2014 IEEE International Conference on Data Mining, 30-39, 2014 | 60 | 2014 |
| Beyond shortest paths: Route recommendations for ride-sharing CF Yuen, AP Singh, S Goyal, S Ranu, A Bagchi The world wide web conference, 2258-2269, 2019 | 56 | 2019 |
| Global Counterfactual Explainer for Graph Neural Networks Z Huang, M Kosan, S Medya, S Ranu, A Singh Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 55 | 2023 |
| Greed: A neural framework for learning graph distance functions R Ranjan, S Grover, S Medya, V Chakaravarthy, Y Sabharwal, S Ranu Advances in Neural Information Processing Systems 35, 22518-22530, 2022 | 51 | 2022 |
| Efficiently answering regular simple path queries on large labeled networks S Wadhwa, A Prasad, S Ranu, A Bagchi, S Bedathur Proceedings of the 2019 international conference on management of data, 1463 …, 2019 | 43 | 2019 |
| Answering top-k representative queries on graph databases S Ranu, M Hoang, A Singh Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 41 | 2014 |
| Mantra: a scalable approach to mining temporally anomalous sub-trajectories P Banerjee, P Yawalkar, S Ranu Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 37 | 2016 |
| Unravelling the performance of physics-informed graph neural networks for dynamical systems A Thangamuthu, G Kumar, S Bishnoi, R Bhattoo, NM Krishnan, S Ranu Advances in Neural Information Processing Systems 35, 3691-3702, 2022 | 36 | 2022 |
| Batching and matching for food delivery in dynamic road networks M Joshi, A Singh, S Ranu, A Bagchi, P Karia, P Kala 2021 IEEE 37th international conference on data engineering (ICDE), 2099-2104, 2021 | 34 | 2021 |
| Novel method for pharmacophore analysis by examining the joint pharmacophore space S Ranu, AK Singh Journal of chemical information and modeling 51 (5), 1106-1121, 2011 | 33* | 2011 |
Sourav MedyaUniversity of Illinois Chicago (UIC)Email verificata su uic.edu