| 2026 | SIGMOD | FinDS: Workshop on Data Management for the Modern Financial Systems. | Sahil Manchanda, Aakarsh Malhotra, Sayan Ranu, Srikanta Bedathur, Nitendra Rajput |
| 2025 | ICLR | Bonsai: Gradient-free Graph Condensation for Node Classification. | Mridul Gupta, Samyak Jain, Vansh Ramani, Hariprasad Kodamana, Sayan Ranu |
| 2025 | ICML | GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code. | Samidha Verma, Arushi Goyal, Ananya Mathur, Ankit Anand, Sayan Ranu |
| 2025 | KDD | Persona Identification in E-Commerce with Scarce Labels and In-Context Graph Learning. | Anjali Gupta, Prashant Kumar, Aniket Mishra, Abhishek Singh, Surender Kumar, Muthusamy Chelliah, Abhijnan Chakraborty, Sayan Ranu |
| 2025 | KDD | Alpine: Partial Unlabeled Graph Alignment. | Petros Petsinis, Konstantinos Skitsas, Sayan Ranu, Davide Mottin, Panagiotis Karras |
| 2025 | KDD | TAG2M- A Task-Agnostic Knowledge Distillation Framework for Distilling GNN to MLP. | Ram Ganesh V, Ayush Singh, Aditi Rai, Harsh Pal, Deepanshu Bagotia, Akshay Sethi, Aakarsh Malhotra, Sayan Ranu |
| 2024 | ICLR | BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics. | Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan |
| 2024 | ICLR | Mirage: Model-agnostic Graph Distillation for Graph Classification. | Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu |
| 2024 | ICLR | GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking. | Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj K. Singh, Sourav Medya, Sayan Ranu |
| 2024 | KDD | NeuroCut: A Neural Approach for Robust Graph Partitioning. | Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu |
| 2023 | AAAI | LIMIP: Lifelong Learning to Solve Mixed Integer Programs. | Sahil Manchanda, Sayan Ranu |
| 2023 | AAAI | Task and Model Agnostic Adversarial Attack on Graph Neural Networks. | Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu |
| 2023 | EDBT | KWIQ: Answering k-core Window Queries in Temporal Networks. | Mahdihusain Momin, Raj Kamal, Shantwana Dixit, Sayan Ranu, Amitabha Bagchi |
| 2023 | ICLR | Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems. | Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan |
| 2023 | ICML | 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 |
| 2023 | ICML | GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. | Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur |
| 2023 | KDD | Frigate: Frugal Spatio-temporal Forecasting on Road Networks. | Mridul Gupta, Hariprasad Kodamana, Sayan Ranu |
| 2023 | WWW | Towards Fair Allocation in Social Commerce Platforms. | Anjali Gupta, Shreyans J. Nagori, Abhijnan Chakraborty, Rohit Vaish, Sayan Ranu, Prajit Prashant Sinai Nadkarni, Narendra Varma Dasararaju, Muthusamy Chelliah |
| 2023 | WSDM | Learning and Maximizing Influence in Social Networks Under Capacity Constraints. | Pritish Chakraborty, Sayan Ranu, Krishna Sri Ipsit Mantri, Abir De |
| 2023 | WSDM | Global Counterfactual Explainer for Graph Neural Networks. | Zexi Huang, Mert Kosan, Sourav Medya, Sayan Ranu, Ambuj K. Singh |
| 2022 | AAAI | TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. | Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu |
| 2022 | AAAI | FairFoody: Bringing In Fairness in Food Delivery. | Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi |
| 2022 | IJCAI | Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers. | Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi |
| 2021 | COMAD | A Group-to-Group Version of Random Walk Betweenness Centrality. | Iqra Altaf Gillani, Amitabha Bagchi, Sayan Ranu |
| 2021 | ICDE | Batching and Matching for Food Delivery in Dynamic Road Networks. | Manas Joshi, Arshdeep Singh, Sayan Ranu, Amitabha Bagchi, Priyank Karia, Puneet Kala |
| 2021 | IJCAI | GraphReach: Position-Aware Graph Neural Network using Reachability Estimations. | Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu |
| 2021 | WSDM | Balance Maximization in Signed Networks via Edge Deletions. | Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi |
| 2020 | WWW | GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation. | Nikhil Goyal, Harsh Vardhan Jain, Sayan Ranu |
| 2019 | COMAD | NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services. | Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu |
| 2019 | EDBT | Influence Maximization Revisited: The State of the Art and the Gaps that Remain. | Akhil Arora, Sainyam Galhotra, Sayan Ranu |
| 2019 | ICDE | Route Recommendations on Road Networks for Arbitrary User Preference Functions. | Pranali Yawalkar, Sayan Ranu |
| 2019 | WWW | RAQ: Relationship-Aware Graph Querying in Large Networks. | Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya |
| 2019 | WWW | Beyond Shortest Paths: Route Recommendations for Ride-sharing. | Chak Fai Yuen, Abhishek Pratap Singh, Sagar Goyal, Sayan Ranu, Amitabha Bagchi |
| 2019 | SIGMOD | Efficiently Answering Regular Simple Path Queries on Large Labeled Networks. | Sarisht Wadhwa, Anagh Prasad, Sayan Ranu, Amitabha Bagchi, Srikanta Bedathur |
| 2018 | COMSNETS | Mining bus stops from raw GPS data of bus trajectories. | Nandani Garg, Gitakrishnan Ramadurai, Sayan Ranu |
| 2018 | KDD | Route Recommendations for Idle Taxi Drivers: Find Me the Shortest Route to a Customer! | Nandani Garg, Sayan Ranu |
| 2017 | COMSNETS | A weight-based map matching algorithm using minimum input variables for urban road networks. | Souvik Maity, Soumik Dalal, Sayan Ranu, Lelitha Vanajakshi |
| 2017 | ICDE | NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services. | Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu, Harsh Bhandari |
| 2017 | SIGMOD | Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study. | Akhil Arora, Sainyam Galhotra, Sayan Ranu |
| 2016 | ICDM | A Scalable and Generic Framework to Mine Top-k Representative Subgraph Patterns. | Dheepikaa Natarajan, Sayan Ranu |
| 2016 | KDD | MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories. | Prithu Banerjee, Pranali Yawalkar, Sayan Ranu |
| 2016 | WISE | Select, Link and Rank: Diversified Query Expansion and Entity Ranking Using Wikipedia. | Adit Krishnan, Deepak Padmanabhan, Sayan Ranu, Sameep Mehta |
| 2015 | ECIR | Entity Linking for Web Search Queries. | Deepak P, Sayan Ranu, Prithu Banerjee, Sameep Mehta |
| 2015 | ICDE | Indexing and matching trajectories under inconsistent sampling rates. | Sayan Ranu, Deepak P, Aditya D. Telang, Prasad Deshpande, Sriram Raghavan |
| 2015 | ICDM | Geo-Social Clustering of Places from Check-in Data. | Shivam Srivastava, Shiladitya Pande, Sayan Ranu |
| 2015 | INFOCOM | Trajectory aware macro-cell planning for mobile users. | Shubhadip Mitra, Sayan Ranu, Vinay Kolar, Aditya Telang, Arnab Bhattacharya, Ravi Kokku, Sriram Raghavan |
| 2015 | SIGMOD | COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks. | Saket Gurukar, Sayan Ranu, Balaraman Ravindran |
| 2014 | COMAD | Entity Linking: Detecting Entities within Text. | Deepak P, Sayan Ranu |
| 2014 | COMSNETS | People in motion: Spatio-temporal analytics on Call Detail Records. | Vinay Kolar, Sayan Ranu, Anand Prabhu Subramanian, Yedendra Shrinivasan, Aditya Telang, Ravi Kokku, Sriram Raghavan |
| 2014 | ICDM | Inferring Uncertain Trajectories from Partial Observations. | Prithu Banerjee, Sayan Ranu, Sriram Raghavan |
| 2014 | SIGMOD | Answering top-k representative queries on graph databases. | Sayan Ranu, Minh X. Hoang, Ambuj K. Singh |
| 2014 | SIGMOD | Applications of Top-k Representative Queries. | Sayan Ranu, Minh X. Hoang, Ambuj K. Singh |
| 2013 | COMAD | Trajectory Analytics: Indexing, Mining, and Applications to Network Optimization. | Sayan Ranu, Aditya Telang, Vinay Kolar |
| 2013 | KDD | Mining discriminative subgraphs from global-state networks. | Sayan Ranu, Minh X. Hoang, Ambuj K. Singh |
| 2012 | EDBT | Indexing and mining topological patterns for drug discovery. | Sayan Ranu, Ambuj K. Singh |
| 2012 | WWW | Recommendations to boost content spread in social networks. | Vineet Chaoji, Sayan Ranu, Rajeev Rastogi, Rushi Bhatt |
| 2009 | ICDE | GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases. | Sayan Ranu, Ambuj K. Singh |