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 | 439 | 2019 |
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 | 85 | 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 | 56 | 2020 |
A Dual Framework for Low-rank Tensor Completion M Nimishakavi, P Jawanpuria, B Mishra Advances in Neural Information Processing Systems (NIPS) 2018, 2018 | 41 | 2018 |
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 | 39 | 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 | 33 | 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 | 25 | 2016 |
Lovasz Convolutional Networks P Yadav, M Nimishakavi, N Yadati, A Rajkumar, P Talukdar AISTATS 2019, 2018 | 15 | 2018 |
Link prediction in hypergraphs using graph convolutional networks N Yadati, V Nitin, M Nimishakavi, P Yadav, A Louis, P Talukdar | 12 | 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 preprint arXiv:1809.02589, 2019 | 3 | 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 |
Self-Supervised Pretraining for Heterogeneous Hypergraph Neural Networks A Abubaker, T Maehara, M Nimishakavi, V Plachouras arXiv preprint arXiv:2311.11368, 2023 | | 2023 |
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 |