Soumya Sanyal
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Composition-based multi-relational graph convolutional networks
S Vashishth*, S Sanyal*, V Nitin, P Talukdar
Proceedings of International Conference on Learning Representations 2020 (ICLR), 2019
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
S Vashishth*, S Sanyal*, V Nitin, N Agrawal, P Talukdar
Proceedings of Thiry-Fourth AAAI conference on Artificial Intelligence (AAAI …, 2019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
E Ranjan, S Sanyal, PP Talukdar
A Reevaluation of Knowledge Graph Completion Methods
Z Sun, S Vashishth, S Sanyal, P Talukdar, Y Yang
arXiv preprint arXiv:1911.03903, 2019
ProteinGCN: Protein model quality assessment using graph convolutional networks
S Sanyal, I Anishchenko, A Dagar, D Baker, P Talukdar
URL https://doi. org/10.1101/2020.04 6, 388, 2020
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
S Sanyal, J Balachandran, N Yadati, A Kumar, P Rajagopalan, S Sanyal, ...
arXiv preprint arXiv:1811.05660, 2018
Generate rather than Retrieve: Large Language Models are Strong Context Generators
W Yu, D Iter, S Wang, Y Xu, M Ju, S Sanyal, C Zhu, M Zeng, M Jiang
arXiv preprint arXiv:2209.10063, 2022
Discretized Integrated Gradients for Explaining Language Models
S Sanyal, X Ren
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language
S Sanyal, H Singh, X Ren
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners
S Sanyal, Z Liao, X Ren
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
A Chan, J Xu, B Long, S Sanyal, T Gupta, X Ren
Advances in Neural Information Processing Systems 34, 2021
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
S Sanyal, Y Xu, S Wang, Z Yang, R Pryzant, W Yu, C Zhu, X Ren
arXiv preprint arXiv:2212.09282, 2022
Potential energy surface prediction of Alumina polymorphs using graph neural network
S Sanyal, AK Sagotra, N Kumar, S Rathi, M Krishna, N Somayajula, ...
arXiv preprint arXiv:2301.12059, 2023
Adaptive Pre-training of Language Models for Better Logical Reasoning
S Sanyal, Y Xu, S Wang, Z Yang, R Pryzant, W Yu, C Zhu, X Ren
NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 0
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