| 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 32, 2019 | 209 | 2019 |
| Hypergcn: Hypergraph convolutional networks for semi-supervised classification N Yadati, M Nimishakavi, P Yadav, A Louis, P Talukdar arXiv preprint arXiv:1809.02589 22, 1-12, 2018 | 34 | 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 | 33 | 2020 |
| Graph-based modeling of online communities for fake news detection S Chandra, P Mishra, H Yannakoudakis, M Nimishakavi, M Saeidi, ... arXiv preprint arXiv:2008.06274, 2020 | 30 | 2020 |
| A Dual Framework for Low-rank Tensor Completion M Nimishakavi, P Jawanpuria, B Mishra Advances in Neural Information Processing Systems (NIPS) 2018, 2018 | 29 | 2018 |
| Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information M Nimishakavi, B Mishra, M Gupta, P Talukdar International Conference on Information and Knowledge Management (CIKM) 2018, 2018 | 24 | 2018 |
| Relation Schema Induction using Tensor Factorization with Side Information M Nimishakavi, U Singh Saini, P Talukdar Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 24 | 2016 |
| Lovasz Convolutional Networks P Yadav, M Nimishakavi, N Yadati, A Rajkumar, P Talukdar AISTATS 2019, 2018 | 12 | 2018 |
| Link prediction in hypergraphs using graph convolutional networks N Yadati, V Nitin, M Nimishakavi, P Yadav, A Louis, P Talukdar | 11 | 2018 |
| HyperGCN: Hypergraph Convolutional Networks for Semi-Supervised Learning and Combinatorial Optimisation N Yadati, M Nimishakavi, P Yadav, V Nitin, A Louis, P Talukdar arXiv, 2019 | 2 | 2019 |
| A Riemannian approach to trace norm regularized low-rank tensor completion M Nimishakavi, P Jawanpuria, B Mishra arXiv preprint arXiv:1712.01193, 2017 | 1 | 2017 |
| Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation M Nimishakavi, M Gupta, P Talukdar Proceedings of the 56th Annual Meeting of the Association for Computational …, 2017 | | 2017 |
| Applicability of Tensor Factorization methods for the problem of Predicate Induction M Nimishakavi, US Saini, P Talukdar | | 2015 |
| Use of Semantics in Topic Based Classification M Nimishakavi, MN Murty ME Project Report, 2012 | | 2012 |
Partha TalukdarGoogle Research and IISc Bangaloreiisc.ac.in의 이메일 확인됨
