Joydeep Chandra
I am an Associate Professor of Computer Science and Engineering at Indian Institute of Technology, Patna. Currently, I am interested in mining social media, modeling of social networks, studying diffusion of information and identifying influentials. Application domains include Journalism, Disaster, Healthcare and Crimes on the Web. I am also a member of the Data Analysis and Network Science (DANeS) group at IIT Patna.

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