Bio

Vijay Prakash Dwivedi is a Postdoctoral Scholar in Computer Science working on graph representation learning. He holds a PhD from Nanyang Technological University (NTU), Singapore. His work has made contributions to advancing benchmarks for Graph Neural Networks (GNNs), graph positional and structural encodings, and Graph Transformers as universal deep neural networks for graph-based learning. He has also contributed to the integration of parametric knowledge in large language models (LLMs) for diverse applications, particularly in healthcare. Several of the methods he developed during his PhD are now widely adopted in state-of-the-art Graph Transformers and other leading graph learning models. For his research, he received one of the Outstanding PhD Thesis Awards from the NTU College of Computing and Data Science. Vijay has over 7 years experience in both academia and industry with institutions including NTU, Snap Inc., Sony, and ASUS.

Professional Education

  • Bachelor of Technology, Motilal Nehru National Institute of Tech Allahabad (2018)
  • Doctor of Philosophy, Nanyang Technological University (2024)

Stanford Advisors

Contact

  • Academic
    vdwivedi@stanford.edu
    University - Scholar Department: Computer Science Position: Postdoctoral Scholar

Additional Info

  • Mail Code: 9025

All Publications

  • MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues Binici, K., Kashyap, A., Schlegel, V., Liu, A. T., Dwivedi, V., Thanh-Tung Nguyen, Gao, X., Chen, N. F., Winkler, S. edited by Walsh, T., Shah, J., Kolter, Z. ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE. 2025: 23496-23504

    View details for Web of Science ID 001477505600042

  • Large Language Models are Good Relational Learners Wu, F., Dwivedi, V., Leskovec, J. edited by Che, W., Nabende, J., Shutova, E., Pilehvar, M. T. ASSOC COMPUTATIONAL LINGUISTICS-ACL. 2025: 7835-7854

    View details for Web of Science ID 001611615400065