Question answering over temporal knowledge graphs A Saxena, S Chakrabarti, P Talukdar arXiv preprint arXiv:2106.01515, 2021 | 94 | 2021 |
ProtoTEx: Explaining model decisions with prototype tensors A Das, C Gupta, V Kovatchev, M Lease, JJ Li arXiv preprint arXiv:2204.05426, 2022 | 14 | 2022 |
Adversarial permutation guided node representations for link prediction I Roy, A De, S Chakrabarti Proceedings of the AAAI conference on artificial intelligence 35 (11), 9445-9453, 2021 | 12 | 2021 |
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) S Muresan, P Nakov, A Villavicencio Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 9 | 2022 |
TwiRGCN: Temporally weighted graph convolution for question answering over temporal knowledge graphs A Sharma, A Saxena, C Gupta, SM Kazemi, P Talukdar, S Chakrabarti arXiv preprint arXiv:2210.06281, 2022 | 8 | 2022 |
Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy C Gupta, Y Jain, A De, S Chakrabarti Proceedings of the 30th ACM International Conference on Information and …, 2021 | 5 | 2021 |
Cross-Team Collaboration and Diversity in the Bridge2AI Project H Xu, C Gupta, Z Sembay, S Thaker, P Payne-Foster, J Chen, Y Ding Companion Proceedings of the ACM Web Conference 2023, 790-794, 2023 | 1 | 2023 |
Deep Neural Matching Models for Graph Retrieval C Gupta, Y Jain CoRR, 2021 | 1 | 2021 |
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics A Vlachos, I Augenstein Proceedings of the 17th Conference of the European Chapter of the …, 2023 | | 2023 |
Matching Models for Graph Retrieval C Gupta, Y Jain arXiv preprint arXiv:2110.00925, 2021 | | 2021 |