GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion. - Ramit Sawhney; Arnav Wadhwa; Shivam Agarwal; Rajiv Ratn Shah (COLING, 2020)

Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations. - Ramit Sawhney; Shivam Agarwal; Arnav Wadhwa; Rajiv Ratn Shah (EMNLP (1), 2020)

Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting. - Ramit Sawhney; Shivam Agarwal; Arnav Wadhwa; Rajiv Ratn Shah (ICDM, 2020)

Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach. - Ramit Sawhney; Shivam Agarwal; Arnav Wadhwa; Tyler Derr; Rajiv Ratn Shah (AAAI, 2021)

FAST: Financial News and Tweet Based Time Aware Network for Stock Trading. - Ramit Sawhney; Arnav Wadhwa; Shivam Agarwal; Rajiv Ratn Shah (EACL, 2021)

TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates. - Ramit Sawhney; Shivam Agarwal; Arnav Wadhwa; Rajiv Ratn Shah (IJCAI, 2021)

Quantitative Day Trading from Natural Language using Reinforcement Learning. - Ramit Sawhney; Arnav Wadhwa; Shivam Agarwal; Rajiv Ratn Shah (NAACL-HLT, 2021)

Hyperbolic Online Time Stream Modeling. - Ramit Sawhney; Shivam Agarwal; Megh Thakkar; Arnav Wadhwa; Rajiv Ratn Shah (SIGIR, 2021)

Modeling financial uncertainty with multivariate temporal entropy-based curriculums. - Ramit Sawhney; Arnav Wadhwa; Ayush Mangal; Vivek Mittal; Shivam Agarwal; Rajiv Ratn Shah (UAI, 2021)

Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading. - Ramit Sawhney; Shivam Agarwal; Arnav Wadhwa; Rajiv Ratn Shah (WWW, 2021)