I am a PhD student in the CSE Department @ IIT Bombay. I'm working with Abir De and Soumen Chakrabarti.
I design machine learning methods for predictive challenges on graphs, with a focus on neural graph retrieval. This currently involves developing deep learning models for solving graph combinatorial problems, scalable retrieval methods with trainable hashing, and ensuring interpretability through explicit alignment-driven justifications. These techniques are applicable to multimodal retrieval involving graphs from diverse domains, such as knowledge graphs, scene graphs, social networks, and molecular graphs.
News
- Two papers [1, 2] accepted at NeurIPS 2024
- Serving as a reviewer for NeurIPS 2024, AAAI 2025, AISTATS 2025, ICLR 2025.
- Updated Research Statement (May 2024).
- One paper accepted at NeurIPS 2023 as Spotlight(Top 4%)
- Awarded a renewal of Qualcomm Innovation Fellowship for the academic year 2023-24 (Total four awarded from India)
- Invited talk on Neural Graph Retrieval at IBM Research Zurich
- One paper accepted at NeurIPS 2022
- Awarded the Qualcomm Innovation Fellowship for the academic year 2022-23