2026
NEUTAG: Graph Transformer for Attributed GraphsShubham Gupta, Sayan Ranu, Srikanta Bedathur
Graph Condensation Needs a Reset-Move Beyond Full-dataset Training and Model-DependenceSpotlightMridul Gupta, Samyak Jain, Vansh Ramani, Hariprasad Kodamana and Sayan Ranu
GFFMERGE: Efficient Merging of Graph Neural Force Fields and BeyondParth Verma, Parv Pratap Singh, Vipul Garg, Ishita Thakre, Anoop Krishnan and Sayan Ranu
DISSOLVR: An Interpretable and Fast Framework for Aqueous and Organic Solubility PredictionVansh Ramani, Har Ashish Arora, Dhairya Kuchhal, Sayan Ranu and Tarak Karmakar
Is Graph Unlearning Ready for Practice? A Benchmark on Efficiency, Utility, and ForgettingSamyak Jain, Ronak Kalvani, Sainyam Galhotra and Sayan Ranu
GraphGini: Fostering Individual and Group Fairness in Graph Neural NetworksAnuj Kumar Sirohi, Anjali Gupta, Sandeep Kumar, Amitabha Bagchi and Sayan Ranu
Learnable stability-aware computational grid coarsening for accelerating physics simulationsAlexander Ryabov, Viacheslav Naumov, Sergei Shumilin, Nikolay Yavich, Sayan Ranu, N. M. Anoop Krishnan, Evgeny Burnaev and Vladimir Vanovskiy
2025
GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN InterpretabilityOralBurouj Armgaan, Eshan Jain, Harsh Pandey, Mahesh Chandran Sayan Ranu
Persona Identification in E-Commerce with Scarce Labels and In-Context Graph LearningAnjali Gupta, Prashant Kumar, Aniket Mishra, Abhishek Singh, Surender Kumar, Muthusamy Chelliah, Abhijnan Chakraborty, Sayan Ranu
TAG2M- A Task-Agnostic Knowledge Distillation Framework for Distilling GNN to MLPRam Ganesh V, Ayush Singh, Aditi Rai, Harsh Pal, Deepanshu, Akshay Sethi, Aakarsh Malhotra, Sayan Ranu
Alpine: Partial Unlabeled Graph AlignmentPetros Petsinis, Konstantinos Skitsas, Sayan Ranu, Davide Mottin, Panagiotis Karras
GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated CodeSamidha Verma*, Arushi Goyal*, Ananya Mathur*, Ankit Anand and Sayan Ranu
Bonsai: Gradient-free Graph Condensation for Node ClassificationMridul Gupta, Samyak Jain, Vansh Ramani, Hariprasad Kodamana and Sayan Ranu
2024
GraphTrail: Translating GNN Predictions into Human-Interpretable Logical RulesBurouj Armgaan, Manthan Dalmia, Sourav Medya, Sayan Ranu
FUGAL: Feature-fortified Unrestricted Graph AlignmentAditya Bommakanti, Harshith Reddy Vonteri, Konstantinos Skitsas, Sayan Ranu, Davide Mottin, Panagiotis Karras
GCFExplainer: Global Counterfactual Explainer for Graph Neural NetworksMert Kosan, Zexi Huang, Sourav Medya, Sayan Ranu, Ambuj Singh
Discovering symbolic laws directly from trajectories with hamiltonian graph neural networksSuresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, and N M Anoop Krishnan
NeuroCut: A Neural Approach for Robust Graph PartitioningRishi Rajesh Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya and Sayan Ranu
InduCE: Inductive Counterfactual Explanations for Graph Neural NetworksSamidha Verma, Burouj Armgaan, Sourav Medya and Sayan Ranu
Egraffbench: Evaluation of equivariant graph neural network force fields for atomistic simulationsVaibhav Bihani, Sajid Mannan, Utkarsh Pratiush, Tao Du, Zhimin Chen, Santiago Miret, Matthieu Micoulaut, Morten M. Smedskjaer, Sayan Ranu and N. M. Anoop Krishnan
Mirage: Model-agnostic Graph Distillation for Graph ClassificationMridul Gupta, Sahil Manchanda, Hariprasad Kodamana and Sayan Ranu
GnnX-Bench: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth BenchmarkingMert Kosan*, Samidha Verma*, Burouj Armgaan, Khushbu Pahwa, Ambuj Singh, Sourav Medya and Sayan Ranu
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian DynamicsSuresh Bishnoi, Jayadeva Jayadeva, Sayan Ranu and N.M. Anoop Krishnan
2023
Generative modeling of labeled graphs under data scarcitySahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta Bedathur
Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based ModelingSachin Chauhan, Zeel Patel, Sayan Ranu, Rijurekha Sen, and Nipun Batra
Frigate: Frugal Spatio-temporal Forecasting on Road NetworksMridul Gupta, Hariprasad Kodamana, and Sayan Ranu
GRAFENNE: Continual learning on Graphs with Heterogeneous and Dynamic Feature SetsShubham Gupta*, Sahil Manchanda*, Sayan Ranu and Srikanta Bedathur
StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy LandscapesVaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu and N.M. Anoop Krishnan
Towards Fair Allocation in Social Commerce PlatformsAnjali Gupta, Shreyans Nagori, Abhijnan Chakraborty, Rohit Vaish, Sayan Ranu, Prajit Nadkarni, Narendra Dasararaju and Muthusamy Chelliah
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical SystemsSuresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu and N.M. Anoop Krishnan
Learning the Dynamics of Particle-based Systems with Lagrangian Graph Neural NetworksRavinder Bhattoo, Sayan Ranu and N. M. Anoop Krishnan
LIMIP: Lifelong Learning to solve Mixed Integer ProgramsOralSahil Manchanda and Sayan Ranu
Task and Model Agnostic Adversarial Attack on Graph Neural NetworksOralKartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya and Sayan Ranu
Global Counterfactual Explainer for Graph Neural NetworksOralTop-10 papers of WSDM 2023Mert Kosan, Zexi Huang, Sourav Medya, Sayan Ranu, Ambuj Singh
Learning and Maximizing Influence in Social Networks Under Capacity ConstraintsPritish Chakraborty, Sayan Ranu, Ipsit Mantri, Abir de
KWIQ: Answering k-core Window Queries in Temporal NetworksMahdihusain Momin, Raj Kamal, Shantwana Dixit, Sayan Ranu and Amitabha Bagchi
2022
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical SystemsAbishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N M Anoop Krishnan, and Sayan Ranu
GREED: A Neural Framework for Learning Graph Distance FunctionsRishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan Chakaravarthy, Yogish Sabharwal and Sayan Ranu
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural NetworkSpotlightRavinder Bhattoo, Sayan Ranu and Anoop Krishnan
Gigs with Guarantees: Achieving Fair Wage for Food Delivery WorkersAshish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu and Amitabha Bagchi
FairFoody: Bringing in Fairness in Food DeliveryOralAnjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu and Amitabha Bagchi
TIGGER: Scalable Generative Modelling for Temporal Interaction GraphsOralShubham Gupta, Sahil Manchanda, Srikanta Bedathur and Sayan Ranu
Answering Regular Path Queries through ExemplarsKomal Chauhan, Kartik Jain, Sayan Ranu, Srikanta Bedathur and Amitabha Bagchi
FoodMatch: Batching and Matching for Food Delivery in Dynamic Road NetworksManas Joshi, Arshdeep Singh, Sayan Ranu, Amitabha Bagchi, Priyank Karia, and Puneet Kala