Publications

publications in reversed chronological order. An up-to-date list is also on Google Scholar.

2025

  1. MINTT: Memory Inductive Transfer for Temporal Graph Neural Networks
    Tanishq Dubey, Sidharth Agarwal, Shubham Gupta, and Srikanta Bedathur
    In Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval 2025

2024

  1. LoG
    Generative Modeling of Labeled Graphs Under Data Scarcity
    In Proceedings of the Second Learning on Graphs Conference 2024
  2. Robust Training of Temporal GNNs using Nearest Neighbour based Hard Negatives
    Shubham Gupta, and Srikanta Bedathur
    In Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD) 2024

2023

  1. GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
    In Proceedings of the 40th International Conference on Machine Learning 2023

2022

  1. A Survey on Temporal Graph Representation Learning and Generative Modeling
    Shubham Gupta, and Srikanta Bedathur
    arXiv preprint arXiv:2208.12126 2022
  2. TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs
    In Proceedings of the AAAI Conference on Artificial Intelligence 2022

2016

  1. Adding CNNs to the Mix: Stacking models for sentiment classification
    D Vishwanath, and Shubham Gupta
    In 2016 IEEE Annual India Conference (INDICON) 2016

2013

  1. Emotion Recognition Using Facial and Audio Features
    Tarun Krishna, Ayush Rai, Shubham Bansal, Shubham Khandelwal, Shubham Gupta, and Dushyant Goyal
    In Proceedings of the 15th ACM on International Conference on Multimodal Interaction 2013
  2. Kitchen activity recognition based on scene context
    In IEEE International Conference on Image Processing 2013
  3. ICB
    The 2nd competition on counter measures to 2D face spoofing attacks
    I. Chingovska, J. Yang, Z. Lei, D. Yi, S. Z. Li, Shubham Gupta, and others
    In International Conference on Biometrics (ICB) 2013