Sayan Ranu - RankMe

131 papers A* 41A 4B 3Misc 6Journal 62Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GraphGini: Fostering Individual and Group Fairness in Graph Neural Networks. Trans. Mach. Learn. Res. Anuj Kumar Sirohi, Anjali Gupta, Sandeep Kumar, Amitabha Bagchi, Sayan Ranu
2025	—	`conf`	Alpine: Partial Unlabeled Graph Alignment. KDD (2) Petros Petsinis, Konstantinos Skitsas, Sayan Ranu, Davide Mottin, Panagiotis Karras
2025	A*	`conf`	Bonsai: Gradient-free Graph Condensation for Node Classification. ICLR Mridul Gupta, Samyak Jain, Vansh Ramani, Hariprasad Kodamana, Sayan Ranu
2025	J	`jnl`	Evaluating Universal Machine Learning Force Fields Against Experimental Measurements. CoRR Sajid Mannan, Vaibhav Bihani, Carmelo Gonzales, Kin Long Kelvin Lee, Nitya Nand Gosvami, Sayan Ranu, Santiago Miret, N. M. Anoop Krishnan
2025	J	`jnl`	GCFExplainer: Global Counterfactual Explainer for Graph Neural Networks. ACM Trans. Intell. Syst. Technol. Mert Kosan, Zexi Huang, Sourav Medya, Sayan Ranu, Ambuj Singh
2025	J	`jnl`	GNNMerge: Merging of GNN Models Without Accessing Training Data. CoRR Vipul Garg, Ishita Thakre, Sayan Ranu
2025	J	`jnl`	GRAIL: Graph Edit Distance and Node Alignment Using LLM-Generated Code. CoRR Samidha Verma, Arushi Goyal, Ananya Mathur, Ankit Anand, Sayan Ranu
2025	A*	`conf`	GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code. ICML Samidha Verma, Arushi Goyal, Ananya Mathur, Ankit Anand, Sayan Ranu
2025	J	`jnl`	GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability. CoRR Burouj Armgaan, Eshan Jain, Harsh Pandey, Mahesh Chandran, Sayan Ranu
2025	J	`jnl`	Lumos: Let there be Language Model System Certification. CoRR Isha Chaudhary, Vedaant V. Jain, Avaljot Singh, Kavya Sachdeva, Sayan Ranu, Gagandeep Singh
2025	J	`jnl`	Panorama: Fast-Track Nearest Neighbors. CoRR Vansh Ramani, Alexis Schlomer, Akash Nayar, Sayan Ranu, Jignesh M. Patel, Panagiotis Karras
2025	—	`conf`	Persona Identification in E-Commerce with Scarce Labels and In-Context Graph Learning. KDD (2) Anjali Gupta, Prashant Kumar, Aniket Mishra, Abhishek Singh, Surender Kumar, Muthusamy Chelliah, Abhijnan Chakraborty, Sayan Ranu
2025	—	`conf`	TAG2M- A Task-Agnostic Knowledge Distillation Framework for Distilling GNN to MLP. KDD (2) Ram Ganesh V, Ayush Singh, Aditi Rai, Harsh Pal, Deepanshu Bagotia, Akshay Sethi, Aakarsh Malhotra, Sayan Ranu
2024	J	`jnl`	Bonsai: Gradient-free Graph Distillation for Node Classification. CoRR Mridul Gupta, Samyak Jain, Vansh Ramani, Hariprasad Kodamana, Sayan Ranu
2024	A*	`conf`	BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics. ICLR Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
2024	J	`jnl`	Discovering symbolic laws directly from trajectories with hamiltonian graph neural networks. Mach. Learn. Sci. Technol. Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
2024	J	`jnl`	EUGENE: Explainable Unsupervised Approximation of Graph Edit Distance. CoRR Aditya Bommakanti, Harshith Reddy Vonteri, Sayan Ranu, Panagiotis Karras
2024	A*	`conf`	FUGAL: Feature-fortified Unrestricted Graph Alignment. NeurIPS Aditya Bommakanti, Harshith Reddy Vonteri, Konstantinos Skitsas, Sayan Ranu, Davide Mottin, Panagiotis Karras
2024	A*	`conf`	GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking. ICLR Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj K. Singh, Sourav Medya, Sayan Ranu
2024	J	`jnl`	GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networks. CoRR Anuj Kumar Sirohi, Anjali Gupta, Sayan Ranu, Sandeep Kumar, Amitabha Bagchi
2024	A*	`conf`	GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules. NeurIPS Burouj Armgaan, Manthan Dalmia, Sourav Medya, Sayan Ranu
2024	J	`jnl`	InduCE: Inductive Counterfactual Explanations for Graph Neural Networks. Trans. Mach. Learn. Res. Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu
2024	A*	`conf`	Mirage: Model-agnostic Graph Distillation for Graph Classification. ICLR Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu
2024	A*	`conf`	NeuroCut: A Neural Approach for Robust Graph Partitioning. KDD Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu
2024	—	`ed.`	Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), Bangalore, India, January 4-7, 2024 COMAD/CODS Sriraam Natarajan, Indrajit Bhattacharya, Richa Singh, Arun Kumar, Sayan Ranu, Kalika Bali, Abinaya K.
2024	J	`jnl`	TAGMol: Target-Aware Gradient-guided Molecule Generation. CoRR Vineeth Dorna, D. Subhalingam, Keshav Kolluru, Shreshth Tuli, Mrityunjay Singh, Saurabh Singal, N. M. Anoop Krishnan, Sayan Ranu
2024	J	`jnl`	The Road to Explainable Graph Neural Networks. SIGMOD Rec. Sayan Ranu
2024	J	`jnl`	Towards Fair Allocation in Social Commerce Platforms. CoRR Anjali Gupta, Shreyans J. Nagori, Abhijnan Chakraborty, Rohit Vaish, Sayan Ranu, Prajit Prashant Sinai Nadkarni, Narendra Varma Dasararaju, Muthusamy Chelliah
2023	A*	`conf`	AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling. NeurIPS Sachin Chauhan, Zeel B. Patel, Sayan Ranu, Rijurekha Sen, Nipun Batra
2023	J	`jnl`	Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks. CoRR Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
2023	J	`jnl`	EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations. CoRR Vaibhav Bihani, Utkarsh Pratiush, Sajid Mannan, Tao Du, Zhimin Chen, Santiago Miret, Matthieu Micoulaut, Morten M. Smedskjaer, Sayan Ranu, N. M. Anoop Krishnan
2023	J	`jnl`	Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity. CoRR Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu
2023	A*	`conf`	Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems. ICLR Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
2023	J	`jnl`	FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks. CoRR Mridul Gupta, Hariprasad Kodamana, Sayan Ranu
2023	A*	`conf`	Frigate: Frugal Spatio-temporal Forecasting on Road Networks. KDD Mridul Gupta, Hariprasad Kodamana, Sayan Ranu
2023	J	`jnl`	GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking. CoRR Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj K. Singh, Sourav Medya, Sayan Ranu
2023	A*	`conf`	GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. ICML Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur
2023	J	`jnl`	GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. CoRR Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta Bedathur
2023	J	`jnl`	GSHOT: Few-shot Generative Modeling of Labeled Graphs. CoRR Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta Bedathur
2023	—	`conf`	Generative Modeling of Labeled Graphs Under Data Scarcity. LoG Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta J. Bedathur
2023	A	`conf`	Global Counterfactual Explainer for Graph Neural Networks. WSDM Zexi Huang, Mert Kosan, Sourav Medya, Sayan Ranu, Ambuj K. Singh
2023	J	`jnl`	Graph Neural Stochastic Differential Equations for Learning Brownian Dynamics. CoRR Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
2023	B	`conf`	KWIQ: Answering k-core Window Queries in Temporal Networks. EDBT Mahdihusain Momin, Raj Kamal, Shantwana Dixit, Sayan Ranu, Amitabha Bagchi
2023	A*	`conf`	LIMIP: Lifelong Learning to Solve Mixed Integer Programs. AAAI Sahil Manchanda, Sayan Ranu
2023	A	`conf`	Learning and Maximizing Influence in Social Networks Under Capacity Constraints. WSDM Pritish Chakraborty, Sayan Ranu, Krishna Sri Ipsit Mantri, Abir De
2023	J	`jnl`	Learning the dynamics of particle-based systems with Lagrangian graph neural networks. Mach. Learn. Sci. Technol. Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2023	J	`jnl`	Mirage: Model-Agnostic Graph Distillation for Graph Classification. CoRR Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu
2023	J	`jnl`	NeuroCUT: A Neural Approach for Robust Graph Partitioning. CoRR Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu
2023	J	`jnl`	StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. CoRR Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan
2023	A*	`conf`	StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. ICML Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan
2023	A*	`conf`	Task and Model Agnostic Adversarial Attack on Graph Neural Networks. AAAI Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu
2023	A*	`conf`	Towards Fair Allocation in Social Commerce Platforms. WWW Anjali Gupta, Shreyans J. Nagori, Abhijnan Chakraborty, Rohit Vaish, Sayan Ranu, Prajit Prashant Sinai Nadkarni, Narendra Varma Dasararaju, Muthusamy Chelliah
2022	J	`jnl`	Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems. CoRR Suresh Bishnoi, Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2022	A*	`conf`	FairFoody: Bringing In Fairness in Food Delivery. AAAI Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi
2022	J	`jnl`	FairFoody: Bringing in Fairness in Food Delivery. CoRR Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi
2022	J	`jnl`	FoodMatch: Batching and Matching for Food Delivery in Dynamic Road Networks. ACM Trans. Spatial Algorithms Syst. Manas Joshi, Arshdeep Singh, Sayan Ranu, Amitabha Bagchi, Priyank Karia, Puneet Kala
2022	A*	`conf`	GREED: A Neural Framework for Learning Graph Distance Functions. NeurIPS Rishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Sayan Ranu
2022	A*	`conf`	Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers. IJCAI Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi
2022	J	`jnl`	Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers. CoRR Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi
2022	J	`jnl`	Global Counterfactual Explainer for Graph Neural Networks. CoRR Mert Kosan, Zexi Huang, Sourav Medya, Sayan Ranu, Ambuj K. Singh
2022	A*	`conf`	Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network. NeurIPS Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2022	J	`jnl`	Learning Rigid Body Dynamics with Lagrangian Graph Neural Network. CoRR Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2022	J	`jnl`	Learning the Dynamics of Particle-based Systems with Lagrangian Graph Neural Networks. CoRR Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2022	J	`jnl`	Lifelong Learning for Neural powered Mixed Integer Programming. CoRR Sahil Manchanda, Sayan Ranu
2022	A*	`conf`	TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. AAAI Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu
2022	J	`jnl`	TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. CoRR Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu
2022	A*	`conf`	Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. NeurIPS Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu
2022	J	`jnl`	Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. CoRR Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu
2021	—	`conf`	A Group-to-Group Version of Random Walk Betweenness Centrality. COMAD/CODS Iqra Altaf Gillani, Amitabha Bagchi, Sayan Ranu
2021	J	`jnl`	A Neural Framework for Learning Subgraph and Graph Similarity Measures. CoRR Rishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Sayan Ranu
2021	J	`jnl`	Answering Regular Path Queries through Exemplars. Proc. VLDB Endow. Komal Chauhan, Kartik Jain, Sayan Ranu, Srikanta Bedathur, Amitabha Bagchi
2021	A	`conf`	Balance Maximization in Signed Networks via Edge Deletions. WSDM Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi
2021	A*	`conf`	Batching and Matching for Food Delivery in Dynamic Road Networks. ICDE Manas Joshi, Arshdeep Singh, Sayan Ranu, Amitabha Bagchi, Priyank Karia, Puneet Kala
2021	A*	`conf`	GraphReach: Position-Aware Graph Neural Network using Reachability Estimations. IJCAI Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu
2021	J	`jnl`	Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias. CoRR Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
2021	A*	`conf`	NeuroMLR: Robust & Reliable Route Recommendation on Road Networks. NeurIPS Jayant Jain, Vrittika Bagadia, Sahil Manchanda, Sayan Ranu
2021	J	`jnl`	Task and Model Agnostic Adversarial Attack on Graph Neural Networks. CoRR Kartik Sharma, Samidha Verma, Sourav Medya, Sayan Ranu, Arnab Bhattacharya
2020	J	`jnl`	Balance Maximization in Signed Networks via Edge Deletions. CoRR Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi
2020	J	`jnl`	Batching and Matching for Food Delivery in Dynamic Road Networks. CoRR Manas Joshi, Arshdeep Singh, Sayan Ranu, Amitabha Bagchi, Priyank Karia, Puneet Kala
2020	A*	`conf`	GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs. NeurIPS Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh
2020	A*	`conf`	GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation. WWW Nikhil Goyal, Harsh Vardhan Jain, Sayan Ranu
2020	J	`jnl`	GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation. CoRR Nikhil Goyal, Harsh Vardhan Jain, Sayan Ranu
2020	J	`jnl`	GraphReach: Locality-Aware Graph Neural Networks using Reachability Estimations. CoRR Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu
2020	J	`jnl`	Mining Top-k Pairs of Correlated Subgraphs in a Large Network. Proc. VLDB Endow. Arneish Prateek, Arijit Khan, Akshit Goyal, Sayan Ranu
2019	A*	`conf`	Beyond Shortest Paths: Route Recommendations for Ride-sharing. WWW Chak Fai Yuen, Abhishek Pratap Singh, Sagar Goyal, Sayan Ranu, Amitabha Bagchi
2019	—	`conf`	Efficiently Answering Regular Simple Path Queries on Large Labeled Networks. SIGMOD Conference Sarisht Wadhwa, Anagh Prasad, Sayan Ranu, Amitabha Bagchi, Srikanta Bedathur
2019	B	`conf`	Influence Maximization Revisited: The State of the Art and the Gaps that Remain. EDBT Akhil Arora, Sainyam Galhotra, Sayan Ranu
2019	J	`jnl`	Learning Heuristics over Large Graphs via Deep Reinforcement Learning. CoRR Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh
2019	—	`conf`	NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services. COMAD/CODS Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu
2019	A*	`conf`	RAQ: Relationship-Aware Graph Querying in Large Networks. WWW Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya
2019	J	`jnl`	RISC: Rapid Inverted-Index Based Search of Chemical Fingerprints. J. Chem. Inf. Model. Jithin Vachery, Sayan Ranu
2019	A*	`conf`	Route Recommendations on Road Networks for Arbitrary User Preference Functions. ICDE Pranali Yawalkar, Sayan Ranu
2018	J	`jnl`	Identifying User Intent and Context in Graph Queries. CoRR Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya
2018	J	`jnl`	Leveraging semantic resources in diversified query expansion. World Wide Web Adit Krishnan, Deepak P, Sayan Ranu, Sameep Mehta
2018	Misc	`conf`	Mining bus stops from raw GPS data of bus trajectories. COMSNETS Nandani Garg, Gitakrishnan Ramadurai, Sayan Ranu
2018	J	`jnl`	Noticeable Network Delay Minimization via Node Upgrades. Proc. VLDB Endow. Sourav Medya, Jithin Vachery, Sayan Ranu, Ambuj K. Singh
2018	—	`ed.`	Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, COMAD/CODS 2018, Goa, India, January 11-13, 2018 COMAD/CODS Sayan Ranu, Niloy Ganguly, Raghu Ramakrishnan, Sunita Sarawagi, Shourya Roy
2018	J	`jnl`	Resling: a scalable and generic framework to mine top-k representative subgraph patterns. Knowl. Inf. Syst. Dheepikaa Natarajan, Sayan Ranu
2018	A*	`conf`	Route Recommendations for Idle Taxi Drivers: Find Me the Shortest Route to a Customer! KDD Nandani Garg, Sayan Ranu
2017	Misc	`conf`	A weight-based map matching algorithm using minimum input variables for urban road networks. COMSNETS Souvik Maity, Soumik Dalal, Sayan Ranu, Lelitha Vanajakshi
2017	—	`ch.`	Big-Graphs: Querying, Mining, and Beyond. Handbook of Big Data Technologies Arijit Khan, Sayan Ranu
2017	—	`conf`	Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study. SIGMOD Conference Akhil Arora, Sainyam Galhotra, Sayan Ranu
2017	A*	`conf`	NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services. ICDE Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu, Harsh Bhandari
2017	J	`jnl`	NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services. CoRR Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Harsh Bhandari, Sayan Ranu
2017	J	`jnl`	Predicting novel metabolic pathways through subgraph mining. Bioinform. Aravind Sankar, Sayan Ranu, Karthik Raman
2017	J	`jnl`	SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries. Proc. VLDB Endow. Shiladitya Pande, Sayan Ranu, Arnab Bhattacharya
2016	Misc	`ed.`	21st International Conference on Management of Data, COMAD 2016, Pune, India, March 11-13, 2016. COMAD Amol Deshpande, Balaraman Ravindran, Sayan Ranu
2016	A*	`conf`	A Scalable and Generic Framework to Mine Top-k Representative Subgraph Patterns. ICDM Dheepikaa Natarajan, Sayan Ranu
2016	J	`jnl`	Inferring Uncertain Trajectories from Partial Observations. CoRR Prithu Banerjee, Sayan Ranu, Sriram Raghavan
2016	A*	`conf`	MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories. KDD Prithu Banerjee, Pranali Yawalkar, Sayan Ranu
2016	—	`conf`	Select, Link and Rank: Diversified Query Expansion and Entity Ranking Using Wikipedia. WISE (1) Adit Krishnan, Deepak Padmanabhan, Sayan Ranu, Sameep Mehta
2015	—	`conf`	COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks. SIGMOD Conference Saket Gurukar, Sayan Ranu, Balaraman Ravindran
2015	A	`conf`	Entity Linking for Web Search Queries. ECIR Deepak P, Sayan Ranu, Prithu Banerjee, Sameep Mehta
2015	A*	`conf`	Geo-Social Clustering of Places from Check-in Data. ICDM Shivam Srivastava, Shiladitya Pande, Sayan Ranu
2015	A*	`conf`	Indexing and matching trajectories under inconsistent sampling rates. ICDE Sayan Ranu, Deepak P, Aditya D. Telang, Prasad Deshpande, Sriram Raghavan
2015	J	`jnl`	Trajectory Aware Macro-cell Planning for Mobile Users. CoRR Shubhadip Mitra, Sayan Ranu, Vinay Kolar, Aditya Telang, Arnab Bhattacharya, Ravi Kokku, Sriram Raghavan
2015	A*	`conf`	Trajectory aware macro-cell planning for mobile users. INFOCOM Shubhadip Mitra, Sayan Ranu, Vinay Kolar, Aditya Telang, Arnab Bhattacharya, Ravi Kokku, Sriram Raghavan
2014	—	`conf`	Answering top-k representative queries on graph databases. SIGMOD Conference Sayan Ranu, Minh X. Hoang, Ambuj K. Singh
2014	—	`conf`	Applications of Top-k Representative Queries. SWIM Sayan Ranu, Minh X. Hoang, Ambuj K. Singh
2014	Misc	`conf`	Entity Linking: Detecting Entities within Text. COMAD Deepak P, Sayan Ranu
2014	A*	`conf`	Inferring Uncertain Trajectories from Partial Observations. ICDM Prithu Banerjee, Sayan Ranu, Sriram Raghavan
2014	Misc	`conf`	People in motion: Spatio-temporal analytics on Call Detail Records. COMSNETS Vinay Kolar, Sayan Ranu, Anand Prabhu Subramanian, Yedendra Shrinivasan, Aditya Telang, Ravi Kokku, Sriram Raghavan
2013	A*	`conf`	Mining discriminative subgraphs from global-state networks. KDD Sayan Ranu, Minh X. Hoang, Ambuj K. Singh
2013	Misc	`conf`	Trajectory Analytics: Indexing, Mining, and Applications to Network Optimization. COMAD Sayan Ranu, Aditya Telang, Vinay Kolar
2012	B	`conf`	Indexing and mining topological patterns for drug discovery. EDBT Sayan Ranu, Ambuj K. Singh
2012	A*	`conf`	Recommendations to boost content spread in social networks. WWW Vineet Chaoji, Sayan Ranu, Rajeev Rastogi, Rushi Bhatt
2011	J	`jnl`	Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions CoRR Sayan Ranu, Ambuj K. Singh
2011	J	`jnl`	Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions. Proc. VLDB Endow. Sayan Ranu, Ambuj K. Singh
2011	J	`jnl`	Novel Method for Pharmacophore Analysis by Examining the Joint Pharmacophore Space. J. Chem. Inf. Model. Sayan Ranu, Ambuj K. Singh
2009	A*	`conf`	GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases. ICDE Sayan Ranu, Ambuj K. Singh
2009	J	`jnl`	Mining Statistically Significant Molecular Substructures for Efficient Molecular Classification. J. Chem. Inf. Model. Sayan Ranu, Ambuj K. Singh