Publications
A curated collection of my research endeavors, focusing on the intersection of geometric deep learning and time-series analysis.
2026
Position: Graph Condensation Needs a Reset—Move Beyond Full-dataset Training and Model-Dependence (Spotlight, Acceptance <5%)
Mridul Gupta, Samyak Jain, Vansh Ramani, Hariprasad Kodamana, Sayan Ranu
Proceedings of the 43rd International Conference on Machine Learning (ICML 2026)
2025
Bonsai: Gradient-free Graph Distillation for Node Classification
Mridul Gupta, Samyak Jain, Vansh Ramani, Hariprasad Kodamana, Sayan Ranu
Proceedings of the 13th International Conference on Learning Representations (ICLR 2025)
2024
Mirage: Model-agnostic Graph Distillation for Graph Classification
Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu
Proceedings of the 12th International Conference on Learning Representations (ICLR 2024)
2023
Frigate: Frugal Spatio-temporal Forecasting on Road Networks
Mridul Gupta, Hariprasad Kodamana, Sayan Ranu
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)