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Shivam Agarwal
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Deep attentive learning for stock movement prediction from social media text and company correlations
R Sawhney, S Agarwal, A Wadhwa, RR Shah
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
982020
Stock selection via spatiotemporal hypergraph attention network: A learning to rank approach
R Sawhney, S Agarwal, A Wadhwa, T Derr, RR Shah
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 497-504, 2021
902021
Spatiotemporal hypergraph convolution network for stock movement forecasting
R Sawhney, S Agarwal, A Wadhwa, RR Shah
2020 IEEE International Conference on Data Mining (ICDM), 482-491, 2020
602020
Exploring the scale-free nature of stock markets: Hyperbolic graph learning for algorithmic trading
R Sawhney, S Agarwal, A Wadhwa, R Shah
Proceedings of the Web Conference 2021, 11-22, 2021
362021
FAST: Financial news and tweet based time aware network for stock trading
R Sawhney, A Wadhwa, S Agarwal, R Shah
Proceedings of the 16th conference of the european chapter of the …, 2021
342021
Cryptocurrency bubble detection: a new stock market dataset, financial task & hyperbolic models
R Sawhney, S Agarwal, V Mittal, P Rosso, V Nanda, S Chava
arXiv preprint arXiv:2206.06320, 2022
182022
Towards suicide ideation detection through online conversational context
R Sawhney, S Agarwal, AT Neerkaje, N Aletras, P Nakov, L Flek
Proceedings of the 45th international ACM SIGIR conference on research and …, 2022
172022
Quantitative day trading from natural language using reinforcement learning
R Sawhney, A Wadhwa, S Agarwal, R Shah
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
172021
GPolS: A contextual graph-based language model for analyzing parliamentary debates and political cohesion
R Sawhney, A Wadhwa, S Agarwal, R Shah
Proceedings of the 28th International Conference on Computational …, 2020
142020
Text-augmented open knowledge graph completion via pre-trained language models
P Jiang, S Agarwal, B Jin, X Wang, J Sun, J Han
arXiv preprint arXiv:2305.15597, 2023
132023
Hyperbolic online time stream modeling
R Sawhney, S Agarwal, M Thakkar, A Wadhwa, RR Shah
Proceedings of the 44th International ACM SIGIR conference on research and …, 2021
122021
HYPMIX: Hyperbolic Interpolative Data Augmentation
R Sawhney, M Thakkar, S Agarwal, D Jin, D Yang, L Flek
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
122021
Deep residual neural networks for image in audio steganography (Workshop Paper)
S Agarwal, S Venkatraman
2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM), 430-434, 2020
11*2020
Think: Temporal hypergraph hyperbolic network
S Agarwal, R Sawhney, M Thakkar, P Nakov, J Han, T Derr
2022 IEEE International Conference on Data Mining (ICDM), 849-854, 2022
72022
Modeling financial uncertainty with multivariate temporal entropy-based curriculums
R Sawhney, A Wadhwa, A Mangal, V Mittal, S Agarwal, RR Shah
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial …, 2021
42021
DynaMiTE: Discovering explosive topic evolutions with user guidance
N Balepur, S Agarwal, KV Ramanan, S Yoon, D Yang, J Han
Findings of the Association for Computational Linguistics: ACL 2023, 194-217, 2023
22023
Hyphen: Hyperbolic hawkes attention for text streams
S Agarwal, R Sawhney, S Ahuja, R Soun, S Chava
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
22022
TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates
R Sawhney, S Agarwal, A Wadhwa, R Shah
Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021
22021
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy
SK Kang, S Agarwal, B Jin, D Lee, H Yu, J Han
Proceedings of the ACM on Web Conference 2024, 1497-1508, 2024
12024
Learning Through Interpolative Augmentation of Dynamic Curvature Spaces
P Chhabra, AT Neerkaje, S Agarwal, R Sawhney, M Thakkar, P Nakov, ...
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
12023
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