| Learning heuristics over large graphs via deep reinforcement learning S Manchanda, A Mittal, A Dhawan, S Medya, S Ranu, A Singh arXiv preprint arXiv:1903.03332, 2019 | 109 | 2019 |
| 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 | 87 | 2020 |
| On the Generalization of Neural Combinatorial Optimization Heuristics S Manchanda, S Michel, D Drakulic, JM Andreoli European Conferece on Machine Learning ECML-PKDD 2022, 2022 | 23 | 2022 |
| Neuromlr: Robust & reliable route recommendation on road networks J Jain, V Bagadia, S Manchanda, S Ranu Advances in Neural Information Processing Systems 34, 22070-22082, 2021 | 23 | 2021 |
| TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs S Gupta, S Manchanda, S Bedathur, S Ranu AAAI 2022, 2022 | 19 | 2022 |
| Mirage: Model-agnostic graph distillation for graph classification M Gupta, S Manchanda, H Kodamana, S Ranu arXiv preprint arXiv:2310.09486, 2023 | 13 | 2023 |
| STRIDERNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes V Bihani, S Manchanda, S Sastry, S Ranu, NMA Krishnan ICML 2023, 2023 | 7 | 2023 |
| Representation learning of drug and disease terms for drug repositioning S Manchanda, A Anand 2017 3rd IEEE International Conference on Cybernetics (CYBCONF), 1-6, 2017 | 6 | 2017 |
| Generative modeling of labeled graphs under data scarcity S Manchanda, S Gupta, S Ranu, SJ Bedathur Learning on Graphs Conference, 32: 1-32: 18, 2024 | 5 | 2024 |
| GRAFENNE: learning on graphs with heterogeneous and dynamic feature sets S Gupta, S Manchanda, S Ranu, SJ Bedathur International Conference on Machine Learning, 12165-12181, 2023 | 5 | 2023 |
| LiMIP: lifelong learning to solve mixed integer programs S Manchanda, S Ranu Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 9047-9054, 2023 | 2* | 2023 |
| NeuroCUT: A Neural Approach for Robust Graph Partitioning S Manchanda, R Shah, K Jain, S Medya, S Ranu Knowledge Discovery and Data Mining 2024, 2023 | 1* | 2023 |
| Unsupervised Graph Neural Network Reveals the Structure--Dynamics Correlation in Disordered Systems V Bihani, S Manchanda, S Ranu, NM Krishnan arXiv preprint arXiv:2206.12575, 2022 | 1 | 2022 |
| Trained pattern analyzer for roll out decisions S Manchanda, K Simarjot, A Rajkumar, U Narayanan US Patent 11,335,137, 2022 | 1 | 2022 |
| What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization S Manchanda, P Shivaswamy arXiv preprint arXiv:2502.02903, 2025 | | 2025 |
| NeuroSteiner: A Graph Transformer for Wirelength Estimation S Manchanda, D Kianfar, M Peschl, R Lepert, M Defferrard AAAI 2024 Workshop on AI to Accelerate Science and Engineering AI2ASE, 2024 | | 2024 |
| Method and system for meta-learning of neural combinatorial optimization heuristics JM Andreoli, S Michel, S Manchanda US Patent App. 18/055,613, 2023 | | 2023 |
| SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems S Manchanda, A Rajkumar, S Kaur, N Unny arXiv preprint arXiv:2001.03386, 2020 | | 2020 |
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