| 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 | 512 | 2018 |
| Improving Local Identifiability in Probabilistic Box Embeddings S Dasgupta, M Boratko, D Zhang, L Vilnis, X Li, A McCallum Advances in Neural Information Processing Systems 33, 2020 | 67 | 2020 |
| Dating Documents using Graph Convolution Networks S Vashishth, SS Dasgupta, SN Ray, P Talukdar Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 66 | 2018 |
| Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning X Chen, M Boratko, M Chen, SS Dasgupta, XL Li, A McCallum arXiv preprint arXiv:2104.04597, 2021 | 54 | 2021 |
| Representing Joint Hierarchies with Box Embeddings D Patel*, SS Dasgupta*, M Boratko, X Li, L Vilnis, A McCallum | 27 | 2020 |
| Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings S Dasgupta, M Boratko, S Mishra, S Atmakuri, D Patel, X Li, A McCallum Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 25* | 2022 |
| An analysis of virtual nodes in graph neural networks for link prediction EJ Hwang, V Thost, SS Dasgupta, T Ma The First Learning on Graphs Conference, 2022 | 22 | 2022 |
| Box Embeddings: An open-source library for representation learning using geometric structures T Chheda, P Goyal, T Tran, D Patel, M Boratko, SS Dasgupta, ... arXiv preprint arXiv:2109.04997, 2021 | 15 | 2021 |
| AD3: Attentive Deep Document Dater SN Ray, SS Dasgupta, P Talukdar Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 10 | 2018 |
| Min/Max Stability and Box Distributions M Boratko, J Burroni, SS Dasgupta, A McCallum | 7 | 2021 |
| Box-To-Box Transformation for Modeling Joint Hierarchies SS Dasgupta, X Li, M Boratko, D Zhang, A McCallum Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP …, 2020 | 6 | 2020 |
| Revisiting Virtual Nodes in Graph Neural Networks for Link Prediction EJ Hwang, V Thost, SS Dasgupta, T Ma | 4 | 2021 |
| A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings S Dasgupta, M Boratko, A McCallum arXiv preprint arXiv:2502.10875, 2025 | | 2025 |
| Learning Representations for Hierarchies with Minimal Support B Rozonoyer, M Boratko, D Patel, W Zhao, S Dasgupta, H Le, A McCallum Advances in Neural Information Processing Systems 37, 5586-5614, 2025 | | 2025 |
| Answering Compositional Queries with Set-Theoretic Embeddings S Dasgupta, A McCallum, S Rendle, L Zhang arXiv preprint arXiv:2306.04133, 2023 | | 2023 |
| MEASURE-THEORETIC SET REPRESENTATION LEARNING M Boratko, D Patel, SS Dasgupta, A McCallum | | 2022 |
| Timestamping Documents using GCNs S Vashishth, SS Dasgupta, SN Ray, P Talukdar | | |
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstEmail được xác minh tại cs.umass.edu