| Hypergcn: A new method for training graph convolutional networks on hypergraphs N Yadati, M Nimishakavi, P Yadav, V Nitin, A Louis, P Talukdar Advances in Neural Information Processing Systems, 1511-1522, 2019 | 355* | 2019 |
| Graph convolutional networks based word embeddings S Vashishth, P Yadav, M Bhandari, P Rai, C Bhattacharyya, P Talukdar arXiv preprint arXiv:1809.04283, 2018 | 113* | 2018 |
| NHP: Neural Hypergraph Link Prediction N Yadati, V Nitin, M Nimishakavi, P Yadav, A Louis, P Talukdar Proceedings of the 29th ACM International Conference on Information …, 2020 | 54 | 2020 |
| Confidence-based graph convolutional networks for semi-supervised learning S Vashishth, P Yadav, M Bhandari, P Talukdar The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 41 | 2019 |
| ExplaGraphs: An explanation graph generation task for structured commonsense reasoning S Saha, P Yadav, L Bauer, M Bansal arXiv preprint arXiv:2104.07644, 2021 | 33 | 2021 |
| multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning MB Swarnadeep Saha, Prateek Yadav NAACL 2021, 2021 | 23* | 2021 |
| Lovasz convolutional networks P Yadav, M Nimishakavi, N Yadati, S Vashishth, A Rajkumar, P Talukdar The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 13 | 2019 |
| Self-Chained Image-Language Model for Video Localization and Question Answering S Yu, J Cho, P Yadav, M Bansal arXiv preprint arXiv:2305.06988, 2023 | 11 | 2023 |
| Link Prediction in Hypergraphs using Graph Convolutional Networks N Yadati, V Nitin, M Nimishakavi, P Yadav, A Louis, P Talukdar | 11 | 2018 |
| Low-cost algorithmic recourse for users with uncertain cost functions P Yadav, P Hase, M Bansal arXiv preprint arXiv:2111.01235, 2021 | 10 | 2021 |
| Resolving Interference When Merging Models P Yadav, D Tam, L Choshen, C Raffel, M Bansal arXiv preprint arXiv:2306.01708, 2023 | 6 | 2023 |
| Exploring Continual Learning for Code Generation Models P Yadav, Q Sun, H Ding, X Li, D Zhang, M Tan, X Ma, P Bhatia, ... arXiv preprint arXiv:2307.02435, 2023 | 5 | 2023 |
| Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning S Saha, P Yadav, M Bansal arXiv preprint arXiv:2204.04813, 2022 | 5 | 2022 |
| Exclusive Supermask Subnetwork Training for Continual Learning P Yadav, M Bansal arXiv preprint arXiv:2210.10209, 2022 | 1 | 2022 |
| Rank Refinement: An Algorithmic framework with applications to diversity aware influence maximization P Yadav, A Rajkumar | 1 | 2021 |
| INSPIRE: A Framework for Integrating Individual User Preferences in Recourse P Yadav, P Hase, M Bansal | | 2022 |
| Modelling operational conditions to predict life expectancy and faults of vehicle components in a fleet A Rajkumar, S Ramakrishnan, S Banerjee, R Singh, K Chilamkurthi, ... US Patent 11,232,650, 2022 | | 2022 |
Partha TalukdarGoogle Research and IISc BangaloreVerified email at iisc.ac.in
