| Never-ending Learning T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ... Communications of the ACM 61 (5), 103-115, 2018 | 977 | 2018 |
| Never-Ending Learning T Mitchell, W Cohen, E Hruschka Jr, P Talukdar, J Betteridge, A Carlson, ... Twenty-Ninth Conference on Artificial Intelligence (AAAI), 2015 | 977 | 2015 |
| Composition-based multi-relational graph convolutional networks S Vashishth, S Sanyal, V Nitin, P Talukdar arXiv preprint arXiv:1911.03082, 2019 | 282 | 2019 |
| New regularized algorithms for transductive learning PP Talukdar, K Crammer Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009 | 281 | 2009 |
| Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses L Wehbe, B Murphy, P Talukdar, A Fyshe, A Ramdas, T Mitchell PloS one 9 (11), e112575, 2014 | 234 | 2014 |
| Reside: Improving distantly-supervised neural relation extraction using side information S Vashishth, R Joshi, SS Prayaga, C Bhattacharyya, P Talukdar arXiv preprint arXiv:1812.04361, 2018 | 197 | 2018 |
| Hyte: Hyperplane-based temporally aware knowledge graph embedding SS Dasgupta, SN Ray, P Talukdar Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 176 | 2018 |
| Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding B Murphy, P Talukdar, T Mitchell International Conference on Computational Linguistics (COLING), 2012 | 170 | 2012 |
| Weakly-supervised acquisition of labeled class instances using graph random walks P Talukdar, J Reisinger, M Pasca, D Ravichandran, R Bhagat, F Pereira Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008 | 166 | 2008 |
| Incorporating vector space similarity in random walk inference over knowledge bases M Gardner, P Talukdar, J Krishnamurthy, T Mitchell Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 165 | 2014 |
| Improving multi-hop question answering over knowledge graphs using knowledge base embeddings A Saxena, A Tripathi, P Talukdar ACL 2020, 4498-4507, 2020 | 158 | 2020 |
| 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 | 156* | 2019 |
| Graph-based semi-supervised learning A Subramanya, PP Talukdar Synthesis Lectures on Artificial Intelligence and Machine Learning 8 (4), 1-125, 2014 | 151 | 2014 |
| Automatic code assignment to medical text K Crammer, M Dredze, K Ganchev, P Talukdar, S Carroll Biological, translational, and clinical language processing, 129-136, 2007 | 135 | 2007 |
| FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop A Beutel, PP Talukdar, A Kumar, C Faloutsos, EE Papalexakis, EP Xing Proceedings of the 2014 SIAM international conference on data mining, 109-117, 2014 | 133 | 2014 |
| Interacte: Improving convolution-based knowledge graph embeddings by increasing feature interactions S Vashishth, S Sanyal, V Nitin, N Agrawal, P Talukdar Proceedings of the AAAI conference on artificial intelligence 34 (03), 3009-3016, 2020 | 129 | 2020 |
| The orchestra collaborative data sharing system ZG Ives, TJ Green, G Karvounarakis, NE Taylor, V Tannen, PP Talukdar, ... ACM Sigmod Record 37 (3), 26-32, 2008 | 121 | 2008 |
| Improving learning and inference in a large knowledge-base using latent syntactic cues M Gardner, P Talukdar, B Kisiel, T Mitchell Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 119 | 2013 |
| Experiments in graph-based semi-supervised learning methods for class-instance acquisition PP Talukdar, F Pereira | 116 | 2010 |
| Learning to create data-integrating queries PP Talukdar, M Jacob, MS Mehmood, K Crammer, ZG Ives, F Pereira, ... Proceedings of the VLDB Endowment 1 (1), 785-796, 2008 | 115 | 2008 |
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
