News
May, 2026: 3 in @ ICML!
We will present three papers at ICML 2026, centered on model merging for GNNs, graph condensation, and solubility prediction on molecular graphs.Paper Alert!:
Is graph unlearning ready for practice? Read our ICLR 2026 paper for the answers!Delighted to have an oral presentation at NeurIPS 2025!:
How do you translate GNN predictions to logical rules explained in natural language? Through GnnXemplar!May, 2025: Hattrick @ KDD!
We will present three papers at KDD 2025 this year, all on machine learning for graphs.I hold the joint positions of DS Chair Professor in AI at the Department of Computer Science and Eng. and the Yardi School of AI at IIT Delhi. My research interests span the broad area of network science with particular focus on graph neural networks and spatio-temporal data analytics.
Internships: I am NOT offering any short-term projects. My apologies if I don't respond to your email.