Graph Multi-Head Convolution for Spatio-Temporal Attention in Origin Destination Tensor Prediction. - Manish Bhanu; Rahul Kumar 010; Saswata Roy; João Mendes-Moreira 001; Joydeep Chandra (PAKDD (1), 2022)

DyGCN-LSTM: A dynamic GCN-LSTM based encoder-decoder framework for multistep traffic prediction. - Rahul Kumar 010; João Mendes-Moreira 001; Joydeep Chandra (Appl. Intell., 2023)

BTS-Z: A Bootstrap Zero-Shot Learning Approach for City Traffic Forecasting. - Rahul Kumar 010; Manish Bhanu; Saswata Roy; João Mendes-Moreira 001; Joydeep Chandra (ANTS, 2024)

Spatio-Temporal Parallel Transformer Based Model for Traffic Prediction. - Rahul Kumar 010; João Mendes-Moreira 001; Joydeep Chandra (ACM Trans. Knowl. Discov. Data, 2024)

Spatio-Temporal Predictive Modeling Techniques for Different Domains: a Survey. - Rahul Kumar 010; Manish Bhanu; João Mendes-Moreira 001; Joydeep Chandra (ACM Comput. Surv., 2025)

CSCN: an efficient snapshot ensemble learning based sparse transformer model for long-range spatial-temporal traffic flow prediction. - Rahul Kumar 010; João Mendes-Moreira 001; Joydeep Chandra (Data Min. Knowl. Discov., 2025)