Sayan Ranu
Lab members · DS Chair Professor in AI, IIT Delhi
The students who have made the group what it is.
Current PhD Students 5
Burouj Armgaan
Explainable graph machine learning, turning GNN predictions into human-interpretable rules and natural-language explanations (GnnXemplar, GraphTrail).
Homepage →
Mridul Gupta
Efficient graph learning for resource-constrained settings, including graph condensation and frugal spatio-temporal forecasting (Bonsai, Mirage, Frigate).
Homepage →
Samidha Verma
Automated heuristic discovery, using LLMs to discover programs and algorithms for hard graph problems such as graph edit distance (GRAIL, ICML 2025), with more problems in this space underway.
LinkedIn →
Karan Raj Singh
Building trustworthy agentic systems.
Parv Pratap Singh
Weight-space learning for GNN force fields, including model merging (GFFMerge, to appear at ICML 2026).
LinkedIn →PhD Alumni 3
Anjali Gupta
Algorithmic fairness, graph learning, and AI for social good, including fair allocation and fair wages on gig and e-commerce platforms (FairFoody, Fair Allocation).
Next: Postdoctoral researcher, IIIT Hyderabad.
Homepage →
Sahil Manchanda
Learning to solve combinatorial optimization problems over graphs, including budget-constrained algorithms and lifelong learning for mixed-integer programs (GCOMB, LIMIP).
Next: Manager Data Scientist, Mastercard AI Garage.
Homepage →
Jithin Vachery
Search and optimization over large graphs, including relationship-aware graph querying and fast chemical-fingerprint search (RAQ, RISC).
Next: Lecturer, School of Computing, National University of Singapore.
Homepage →B.Tech and Dual-Degree Students 58
Award winners are featured below. The full roster, with project papers and where each student went next, follows.
Samyak Jain
Co-first author of Bonsai (ICLR 2025), first author of a graph-unlearning benchmark (ICLR 2026), and an author on an ICML 2026 Spotlight on graph condensation.
LinkedIn →Kartik Sharma
Adversarial robustness of GNNs and balance maximization in signed networks (AAAI 2023, WSDM 2021).
Next: PhD candidate, Georgia Tech.
Homepage →Nikhil Goyal
First author of GraphGen, a scalable, domain-agnostic model for labeled graph generation (WWW 2020).
Next: PhD student, Purdue.
Manas Joshi
Batching and matching for food delivery on dynamic road networks (FoodMatch).
Ashish Nair
Fair wages for gig food-delivery workers (FairFoody, Gigs with Guarantees).
Rahul Yadav
Fairness in food delivery, including fair allocation and wages (FairFoody, Gigs with Guarantees).
Dual-degree and M.Tech
Aditya Bommakanti · FUGAL (NeurIPS 2024)
Harshith Reddy Vonteri · FUGAL (NeurIPS 2024)
Arushi Goyal · GRAIL (ICML 2025)
Ananya Mathur · GRAIL (ICML 2025)
Eshan Jain · GnnXemplar (NeurIPS 2025)
Ishita Thakre · GFFMERGE (ICML 2026)
Vipul Garg · GFFMERGE (ICML 2026)
Jayant Jain · NeuroMLR (NeurIPS 2021)
Vrittika Bagadia · NeuroMLR (NeurIPS 2021)
Komal Chauhan · Regular Path Queries via Exemplars (VLDB 2021)
Kartik Jain · Regular Path Queries via Exemplars (VLDB 2021)
Arneish Prateek · Mining Top-k Correlated Subgraphs (VLDB 2020) · Next: Microsoft
Akshit Goyal · Mining Top-k Correlated Subgraphs (VLDB 2020)
Momin Mahdihussain · KWIQ (EDBT 2023) · Next: Goldman Sachs
Harsh Jain · GraphGen (WWW 2020)
Arshdeep Singh · FoodMatch (ICDE 2021)
Chak-Fai Yuen · Route Recommendations for Ride-sharing (WWW 2019)
Abhishek Pratap Singh · Route Recommendations for Ride-sharing (WWW 2019)
Anagh Prasad · Regular simple path queries (SIGMOD 2019)
Sarisht Wadhwa · Regular simple path queries (SIGMOD 2019) · Next: PhD, Duke
Pranali Yawalkar · Route recommendations (ICDE 2019) · Next: Google
Dheepikaa Natarajan · Resling (ICDM 2016) · Next: Amazon
Abishek Thangamuthu · Physics-informed GNNs (NeurIPS 2022)
Gunjan Kumar · Physics-informed GNNs (NeurIPS 2022)
Shivam Srivastava · Geo-social clustering (ICDM 2015)
Aravind Sankar · Predicting metabolic pathways (Bioinformatics 2017) · Next: PhD, UIUC
Adit Krishnan · Select, Link and Rank (WISE 2016) · Next: Amazon
Also: Abhik Mondal, Pankaj Kumar, Dipen Kumar, Dipanshu Patidar, Umesh Parmar, Manoj Kumar.
B.Tech
Rishi Shah · NeuroCut (KDD 2024)
Manthan Dalmia · GraphTrail (NeurIPS 2024) · Next: Graviton Research Capital
Krishnanshu Jain · NeuroCut (KDD 2024)
Akash Mittal · GCOMB (NeurIPS 2020) · Next: MS, UIUC
Anuj Dhawan · GCOMB (NeurIPS 2020)
Siddharth Grover · GREED (NeurIPS 2022)
Sagar Goyal · Route Recommendations for Ride-sharing (WWW 2019)
Suvadip Paul · Pathway heterogeneity in protein folding (PCCP 2017) · Next: MS, Stanford
Also: Abhinav Jain, Parth Gupta.
Current students
Parth Verma · GFFMERGE (ICML 2026)
Vansh Ramani · Bonsai (ICLR 2025), DISSOLVR (ICML 2026)
Ronak Kalvani · Graph-unlearning benchmark (ICLR 2026)
Also: Astha Verma, Vishakha Agarwal, Vipul Vaibhav, Kashish Goel, Daksh Dhaker, Umang Tripathi.
Master's Students 6
Shiladitya Pande
Skyline subgraph queries for retrieving regions of interest (SkyGraph, VLDB 2017).
Next: Samsung Research, Bangalore.
Saket Gurukar · COMMIT (SIGMOD 2015) · Next: Samsung Research, USA
Nandani Garg · Idle-taxi route recommendation (KDD 2018) · Next: Huawei Research, London
Animesh Singh · Disorder-to-order protein switch (PCCP 2015)
Samidha Verma · InduCE (TMLR 2024) · continued to PhD in the group
Karan Raj Singh · continued to PhD in the group