Latest Publications
- TEMPER: Capturing Consistent and Fluctuating TEMPoral Evolution of the EtheReum Users for Phishing Scam Detection, Accepted to KDD, 2025
- Spatio-Temporal Predictive Modeling Techniques for Different Domains: A Survey, Accepted to ACM Computing Surveys, 2024
- Our paper RoCoNA: A Robust Continual Learning Framework for Alignment of Dynamic Networks Under Distribution Shift and Domain Differences received the best paper award at KDD workshops 2024
- A Survey on Network Alignment: Approaches, Applications and Future Directions, Accepted to IJCAI Survey Track 2024
- Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation, Accepted to MICCAI 2024
- Let's Explain Crisis: Deep Multiscale Hierarchical Attention Framework for Crisis-task Identification, Journal of Supercomputing, Springer, 2024
- SCL-IKD: Intermediate Knowledge Distillation via Supervised Contrastive Representation Learning, Applied Intelligence, Springer, 2023
- DyGCN-LSTM: A Dynamic GCN-LSTM based Encoder-Decoder Framework for Multistep Traffic Prediction, Applied Intelligence, Springer, 2023
- An Encoder Framework for Taxi-demand Prediction using Spatio-Temporal Function Approximation, Engineering Applications of Artificial Intelligence, Elsevier, 2023
- Investigating the Impact of Structural and Temporal Behaviours in Ethereum Phishing users Detection, Blockchain: Research and Applications, Elsevier, 2023
- SAlign: A Graph Neural Attention Framework for Aligning Structurally Heterogeneous Networks, Journal of Artificial Intelligence Research, 2023