Ranu, Sayan

33 publications

TMLR 2026 GraphGini: Fostering Individual and Group Fairness in Graph Neural Networks Anuj Kumar Sirohi, Anjali Gupta, Sandeep Kumar, Amitabha Bagchi, Sayan Ranu

ICLR 2026 Is Graph Unlearning Ready for Practice? a Benchmark on Efficiency, Utility, and Forgetting Samyak Jain, Ronak Kalvani, Sainyam Galhotra, Sayan Ranu

ICLR 2025 Bonsai: Gradient-Free Graph Condensation for Node Classification Mridul Gupta, Samyak Jain, Vansh Ramani, Hariprasad Kodamana, Sayan Ranu

ICML 2025 GRAIL: Graph Edit Distance and Node Alignment Using LLM-Generated Code Samidha Verma, Arushi Goyal, Ananya Mathur, Ankit Anand, Sayan Ranu

ICLRW 2025 GRAIL: Graph Edit Distance and Node Alignment Using LLM-Generated Code Samidha Verma, Arushi Goyal, Ananya Mathur, Ankit Anand, Sayan Ranu

NeurIPS 2025 GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability Burouj Armgaan, Eshan Jain, Harsh Pandey, Mahesh Chandran, Sayan Ranu

ICLRW 2025 Gnnmerge: Merging of GNN Models Without Accessing Training Data Vipul Garg, Ishita Thakre, Sayan Ranu

ICLR 2024 BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics Suresh Bishnoi, Jayadeva Jayadeva, Sayan Ranu, N M Anoop Krishnan

NeurIPS 2024 FUGAL: Feature-Fortified Unrestricted Graph Alignment Aditya Bommakanti, Harshith Reddy Vonteri, Konstantinos Skitsas, Sayan Ranu, Davide Mottin, Panagiotis Karras

ICLR 2024 GNNX-BENCH: Unravelling the Utility of Perturbation-Based GNN Explainers Through In-Depth Benchmarking Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj Singh, Sourav Medya, Sayan Ranu

NeurIPS 2024 GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules Burouj Armgaan, Manthan Dalmia, Sourav Medya, Sayan Ranu

TMLR 2024 InduCE: Inductive Counterfactual Explanations for Graph Neural Networks Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu

ICLR 2024 Mirage: Model-Agnostic Graph Distillation for Graph Classification Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu

ICMLW 2024 TAGMol: Target-Aware Gradient-Guided Molecule Generation Vineeth Dorna, D. Subhalingam, Keshav Kolluru, Shreshth Tuli, Mrityunjay Singh, Saurabh Singal, N M Anoop Krishnan, Sayan Ranu

NeurIPS 2023 AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset from Delhi for ML Based Modeling Sachin Chauhan, Zeel Bharatkumar Patel, Sayan Ranu, Rijurekha Sen, Nipun Batra

NeurIPSW 2023 BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics Suresh Bishnoi, Jayadeva Jayadeva, Sayan Ranu, N M Anoop Krishnan

NeurIPSW 2023 EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations Vaibhav Bihani, Utkarsh Pratiush, Sajid Mannan, Tao Du, Zhimin Chen, Santiago Miret, Matthieu Micoulaut, Morten M Smedskjaer, Sayan Ranu, N M Anoop Krishnan

ICLR 2023 Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems Suresh Bishnoi, Ravinder Bhattoo, Jayadeva Jayadeva, Sayan Ranu, N M Anoop Krishnan

ICML 2023 GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur

LoG 2023 Generative Modeling of Labeled Graphs Under Data Scarcity Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta J. Bedathur

AAAI 2023 LIMIP: Lifelong Learning to Solve Mixed Integer Programs Sahil Manchanda, Sayan Ranu

ICLRW 2023 Learning the Dynamics of Physical Systems with Hamiltonian Graph Neural Networks Suresh Bishnoi, Ravinder Bhattoo, Jayadeva Jayadeva, Sayan Ranu, N M Anoop Krishnan

ICML 2023 StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N M Anoop Krishnan

AAAI 2023 Task and Model Agnostic Adversarial Attack on Graph Neural Networks Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu

AAAI 2022 FairFoody: Bringing in Fairness in Food Delivery Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi

NeurIPS 2022 GREED: A Neural Framework for Learning Graph Distance Functions Rishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan Chakaravarthy, Yogish Sabharwal, Sayan Ranu

IJCAI 2022 Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi

NeurIPS 2022 Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network Ravinder Bhattoo, Sayan Ranu, N M Anoop Krishnan

AAAI 2022 TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu

NeurIPS 2022 Unravelling the Performance of Physics-Informed Graph Neural Networks for Dynamical Systems Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N M Anoop Krishnan, Sayan Ranu

IJCAI 2021 GraphReach: Position-Aware Graph Neural Network Using Reachability Estimations Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu

NeurIPS 2021 NeuroMLR: Robust & Reliable Route Recommendation on Road Networks Jayant Jain, Vrittika Bagadia, Sahil Manchanda, Sayan Ranu

NeurIPS 2020 GCOMB: Learning Budget-Constrained Combinatorial Algorithms over Billion-Sized Graphs Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj Singh