| 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 | 55 | 2022 |
| Position: Relational Deep Learning-Graph Representation Learning on Relational Databases M Fey, W Hu, K Huang, JE Lenssen, R Ranjan, J Robinson, R Ying, J You, ... Forty-first International Conference on Machine Learning, 2024 | 42* | 2024 |
| A solver-free framework for scalable learning in neural ilp architectures Y Nandwani, R Ranjan, P Singla Advances in Neural Information Processing Systems 35, 7972-7986, 2022 | 12 | 2022 |
| Relbench: A benchmark for deep learning on relational databases J Robinson, R Ranjan, W Hu, K Huang, J Han, A Dobles, M Fey, ... Advances in Neural Information Processing Systems 37, 21330-21341, 2024 | 9 | 2024 |
| Exploiting Epochs and Symmetries in Analysing MPI Programs R Ranjan, I Agrawal, S Sharma Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 1 | 2022 |
| Post-Hoc Reversal: Are We Selecting Models Prematurely? R Ranjan, S Garg, M Raman, C Guestrin, Z Lipton arXiv preprint arXiv:2404.07815, 2024 | | 2024 |
