Partha Talukdar
Partha Talukdar
Google Research and IISc Bangalore
Verified email at - Homepage
Cited by
Cited by
Never-ending Learning
T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ...
Communications of the ACM 61 (5), 103-115, 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
Composition-based multi-relational graph convolutional networks
S Vashishth, S Sanyal, V Nitin, P Talukdar
arXiv preprint arXiv:1911.03082, 2019
Improving multi-hop question answering over knowledge graphs using knowledge base embeddings
A Saxena, A Tripathi, P Talukdar
ACL 2020, 4498-4507, 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
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
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
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
Asap: Adaptive structure aware pooling for learning hierarchical graph representations
E Ranjan, S Sanyal, P Talukdar
Proceedings of the AAAI conference on artificial intelligence 34 (04), 5470-5477, 2020
New regularized algorithms for transductive learning
PP Talukdar, K Crammer
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009
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
Muril: Multilingual representations for indian languages
S Khanuja, D Bansal, S Mehtani, S Khosla, A Dey, B Gopalan, ...
arXiv preprint arXiv:2103.10730, 2021
Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding
B Murphy, P Talukdar, T Mitchell
International Conference on Computational Linguistics (COLING), 2012
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
Kvqa: Knowledge-aware visual question answering
S Shah, A Mishra, N Yadati, PP Talukdar
Proceedings of the AAAI conference on artificial intelligence 33 (01), 8876-8884, 2019
Graph-based semi-supervised learning
A Subramanya, PP Talukdar
Springer Nature, 2022
A re-evaluation of knowledge graph completion methods
Z Sun, S Vashishth, S Sanyal, P Talukdar, Y Yang
arXiv preprint arXiv:1911.03903, 2019
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
NILE: Natural Language Inference with Faithful Natural Language Explanations
S Kumar, P Talukdar
ACL 2020, 2020
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
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