Latest Publications
- 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
- HealthChain: A Blockchain-aided Federated Healthcare Management System, IEEE ICBC, 2023
- Towards an Orthogonality Constraint-based Feature Partitioning Approach to Classify Veracity and Identify Stance Overlapping of Rumors on Twitter, Expert Systems with Applications, 2022
- HCNA: Hyperbolic Contrastive Learning Framework for Self-Supervised Network Alignment, Information Processing and Management, 2022
- Spotting Flares: The Vital Signs of the Viral Spread of Tweets Made During Communal Incidents, ACM Transactions on the Web, 2022
- SigGAN : Adversarial Model for Learning Signed Relationships in Networks, ACM Transactions on Knowledge Discovery from Data, 2022
- gDART: Improving Rumor Verification in Social Media with Discrete Attention Representations, Information Processing and Management, 2022
- ST-AGP: Spatio-Temporal Aggregator Predictor Model for Multi-Step Taxi Demand Prediction in Cities, Applied Intelligence, 2022
- Graph Multi-head Convolution for Spatio-Temporal Attention in Origin Destination Tensor Prediction, Accepted in PAKDD 2022