Sayan Ranu

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 95

Top Venues

Publications

Aditya Bommakanti, Harshith Reddy Vonteri, Sayan Ranu, Panagiotis Karras
EUGENE: Explainable Unsupervised Approximation of Graph Edit Distance. CoRR (2024)
Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics. ICLR (2024)
Anjali Gupta, Shreyans J. Nagori, Abhijnan Chakraborty, Rohit Vaish, Sayan Ranu, Prajit Prashant Sinai Nadkarni, Narendra Varma Dasararaju, Muthusamy Chelliah
Towards Fair Allocation in Social Commerce Platforms. CoRR (2024)
Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj K. Singh, Sourav Medya, Sayan Ranu
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking. ICLR (2024)
Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu
InduCE: Inductive Counterfactual Explanations for Graph Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
Anuj Kumar Sirohi, Anjali Gupta, Sayan Ranu, Sandeep Kumar, Amitabha Bagchi
GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networks. CoRR (2024)
Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu
NeuroCut: A Neural Approach for Robust Graph Partitioning. KDD (2024)
Vineeth Dorna, D. Subhalingam, Keshav Kolluru, Shreshth Tuli, Mrityunjay Singh, Saurabh Singal, N. M. Anoop Krishnan, Sayan Ranu
TAGMol: Target-Aware Gradient-guided Molecule Generation. CoRR (2024)
Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu
Mirage: Model-agnostic Graph Distillation for Graph Classification. ICLR (2024)
Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu
Mirage: Model-Agnostic Graph Distillation for Graph Classification. CoRR (2023)
Mahdihusain Momin, Raj Kamal, Shantwana Dixit, Sayan Ranu, Amitabha Bagchi
KWIQ: Answering k-core Window Queries in Temporal Networks. EDBT (2023)
Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu
Task and Model Agnostic Adversarial Attack on Graph Neural Networks. AAAI (2023)
Mridul Gupta, Hariprasad Kodamana, Sayan Ranu
Frigate: Frugal Spatio-temporal Forecasting on Road Networks. KDD (2023)
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Learning the dynamics of particle-based systems with Lagrangian graph neural networks. Mach. Learn. Sci. Technol. 4 (1) (2023)
Anjali Gupta, Shreyans J. Nagori, Abhijnan Chakraborty, Rohit Vaish, Sayan Ranu, Prajit Prashant Sinai Nadkarni, Narendra Varma Dasararaju, Muthusamy Chelliah
Towards Fair Allocation in Social Commerce Platforms. WWW (2023)
Sahil Manchanda, Sayan Ranu
LIMIP: Lifelong Learning to Solve Mixed Integer Programs. AAAI (2023)
Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu
Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity. CoRR (2023)
Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta Bedathur
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. CoRR (2023)
Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan
StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. ICML (2023)
Sachin Chauhan, Zeel Bharatkumar Patel, Sayan Ranu, Rijurekha Sen, Nipun Batra
AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling. NeurIPS (2023)
Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu
NeuroCUT: A Neural Approach for Robust Graph Partitioning. CoRR (2023)
Suresh Bishnoi, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
Graph Neural Stochastic Differential Equations for Learning Brownian Dynamics. CoRR (2023)
Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta Bedathur
GSHOT: Few-shot Generative Modeling of Labeled Graphs. CoRR (2023)
Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta J. Bedathur
Generative Modeling of Labeled Graphs Under Data Scarcity. LoG (2023)
Pritish Chakraborty, Sayan Ranu, Krishna Sri Ipsit Mantri, Abir De
Learning and Maximizing Influence in Social Networks Under Capacity Constraints. WSDM (2023)
Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks. CoRR (2023)
Mridul Gupta, Hariprasad Kodamana, Sayan Ranu
FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks. CoRR (2023)
Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan
StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. CoRR (2023)
Vaibhav Bihani, Utkarsh Pratiush, Sajid Mannan, Tao Du, Zhimin Chen, Santiago Miret, Matthieu Micoulaut, Morten M. Smedskjaer, Sayan Ranu, N. M. Anoop Krishnan
EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations. CoRR (2023)
Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj K. Singh, Sourav Medya, Sayan Ranu
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking. CoRR (2023)
Zexi Huang, Mert Kosan, Sourav Medya, Sayan Ranu, Ambuj K. Singh
Global Counterfactual Explainer for Graph Neural Networks. WSDM (2023)
Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. ICML (2023)
Suresh Bishnoi, Ravinder Bhattoo, Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems. ICLR (2023)
Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi
Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers. IJCAI (2022)
Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi
FairFoody: Bringing in Fairness in Food Delivery. CoRR (2022)
Manas Joshi, Arshdeep Singh, Sayan Ranu, Amitabha Bagchi, Priyank Karia, Puneet Kala
FoodMatch: Batching and Matching for Food Delivery in Dynamic Road Networks. ACM Trans. Spatial Algorithms Syst. 8 (1) (2022)
Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. CoRR (2022)
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Learning the Dynamics of Particle-based Systems with Lagrangian Graph Neural Networks. CoRR (2022)
Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. CoRR (2022)
Sahil Manchanda, Sayan Ranu
Lifelong Learning for Neural powered Mixed Integer Programming. CoRR (2022)
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network. NeurIPS (2022)
Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. NeurIPS (2022)
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Learning Rigid Body Dynamics with Lagrangian Graph Neural Network. CoRR (2022)
Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi
FairFoody: Bringing In Fairness in Food Delivery. AAAI (2022)
Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi
Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers. CoRR (2022)
Rishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Sayan Ranu
GREED: A Neural Framework for Learning Graph Distance Functions. NeurIPS (2022)
Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. AAAI (2022)
Mert Kosan, Zexi Huang, Sourav Medya, Sayan Ranu, Ambuj K. Singh
Global Counterfactual Explainer for Graph Neural Networks. CoRR (2022)
Suresh Bishnoi, Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems. CoRR (2022)
Jayant Jain, Vrittika Bagadia, Sahil Manchanda, Sayan Ranu
NeuroMLR: Robust & Reliable Route Recommendation on Road Networks. NeurIPS (2021)
Manas Joshi, Arshdeep Singh, Sayan Ranu, Amitabha Bagchi, Priyank Karia, Puneet Kala
Batching and Matching for Food Delivery in Dynamic Road Networks. ICDE (2021)
Kartik Sharma, Samidha Verma, Sourav Medya, Sayan Ranu, Arnab Bhattacharya
Task and Model Agnostic Adversarial Attack on Graph Neural Networks. CoRR (2021)
Komal Chauhan, Kartik Jain, Sayan Ranu, Srikanta Bedathur, Amitabha Bagchi
Answering Regular Path Queries through Exemplars. Proc. VLDB Endow. 15 (2) (2021)
Rishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Sayan Ranu
A Neural Framework for Learning Subgraph and Graph Similarity Measures. CoRR (2021)
Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu
GraphReach: Position-Aware Graph Neural Network using Reachability Estimations. IJCAI (2021)
Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi
Balance Maximization in Signed Networks via Edge Deletions. WSDM (2021)
Iqra Altaf Gillani, Amitabha Bagchi, Sayan Ranu
A Group-to-Group Version of Random Walk Betweenness Centrality. COMAD/CODS (2021)
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias. CoRR (2021)
Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi
Balance Maximization in Signed Networks via Edge Deletions. CoRR (2020)
Manas Joshi, Arshdeep Singh, Sayan Ranu, Amitabha Bagchi, Priyank Karia, Puneet Kala
Batching and Matching for Food Delivery in Dynamic Road Networks. CoRR (2020)
Nikhil Goyal, Harsh Vardhan Jain, Sayan Ranu
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation. WWW (2020)
Nikhil Goyal, Harsh Vardhan Jain, Sayan Ranu
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation. CoRR (2020)
Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs. NeurIPS (2020)
Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu
GraphReach: Locality-Aware Graph Neural Networks using Reachability Estimations. CoRR (2020)
Arneish Prateek, Arijit Khan, Akshit Goyal, Sayan Ranu
Mining Top-k Pairs of Correlated Subgraphs in a Large Network. Proc. VLDB Endow. 13 (9) (2020)
Sarisht Wadhwa, Anagh Prasad, Sayan Ranu, Amitabha Bagchi, Srikanta Bedathur
Efficiently Answering Regular Simple Path Queries on Large Labeled Networks. SIGMOD Conference (2019)
Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya
RAQ: Relationship-Aware Graph Querying in Large Networks. WWW (2019)
Pranali Yawalkar, Sayan Ranu
Route Recommendations on Road Networks for Arbitrary User Preference Functions. ICDE (2019)
Akhil Arora, Sainyam Galhotra, Sayan Ranu
Influence Maximization Revisited: The State of the Art and the Gaps that Remain. EDBT (2019)
Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh
Learning Heuristics over Large Graphs via Deep Reinforcement Learning. CoRR (2019)
Jithin Vachery, Sayan Ranu
RISC: Rapid Inverted-Index Based Search of Chemical Fingerprints. J. Chem. Inf. Model. 59 (6) (2019)
Chak Fai Yuen, Abhishek Pratap Singh, Sagar Goyal, Sayan Ranu, Amitabha Bagchi
Beyond Shortest Paths: Route Recommendations for Ride-sharing. WWW (2019)
Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu
NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services. COMAD/CODS (2019)
Nandani Garg, Sayan Ranu
Route Recommendations for Idle Taxi Drivers: Find Me the Shortest Route to a Customer! KDD (2018)
Sourav Medya, Jithin Vachery, Sayan Ranu, Ambuj K. Singh
Noticeable Network Delay Minimization via Node Upgrades. Proc. VLDB Endow. 11 (9) (2018)
Nandani Garg, Gitakrishnan Ramadurai, Sayan Ranu
Mining bus stops from raw GPS data of bus trajectories. COMSNETS (2018)
Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya
Identifying User Intent and Context in Graph Queries. CoRR (2018)
Adit Krishnan, Deepak P, Sayan Ranu, Sameep Mehta
Leveraging semantic resources in diversified query expansion. World Wide Web 21 (4) (2018)
Dheepikaa Natarajan, Sayan Ranu
Resling: a scalable and generic framework to mine top-k representative subgraph patterns. Knowl. Inf. Syst. 54 (1) (2018)
Souvik Maity, Soumik Dalal, Sayan Ranu, Lelitha Vanajakshi
A weight-based map matching algorithm using minimum input variables for urban road networks. COMSNETS (2017)
Akhil Arora, Sainyam Galhotra, Sayan Ranu
Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study. SIGMOD Conference (2017)
Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu, Harsh Bhandari
NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services. ICDE (2017)
Shiladitya Pande, Sayan Ranu, Arnab Bhattacharya
SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries. Proc. VLDB Endow. 10 (11) (2017)
Aravind Sankar, Sayan Ranu, Karthik Raman
Predicting novel metabolic pathways through subgraph mining. Bioinform. 33 (24) (2017)
Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Harsh Bhandari, Sayan Ranu
NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services. CoRR (2017)
Prithu Banerjee, Pranali Yawalkar, Sayan Ranu
MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories. KDD (2016)
Prithu Banerjee, Sayan Ranu, Sriram Raghavan
Inferring Uncertain Trajectories from Partial Observations. CoRR (2016)
Adit Krishnan, Deepak Padmanabhan, Sayan Ranu, Sameep Mehta
Select, Link and Rank: Diversified Query Expansion and Entity Ranking Using Wikipedia. WISE (1) (2016)
Dheepikaa Natarajan, Sayan Ranu
A Scalable and Generic Framework to Mine Top-k Representative Subgraph Patterns. ICDM (2016)
Shubhadip Mitra, Sayan Ranu, Vinay Kolar, Aditya Telang, Arnab Bhattacharya, Ravi Kokku, Sriram Raghavan
Trajectory aware macro-cell planning for mobile users. INFOCOM (2015)
Shivam Srivastava, Shiladitya Pande, Sayan Ranu
Geo-Social Clustering of Places from Check-in Data. ICDM (2015)
Deepak P, Sayan Ranu, Prithu Banerjee, Sameep Mehta
Entity Linking for Web Search Queries. ECIR (2015)
Saket Gurukar, Sayan Ranu, Balaraman Ravindran
COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks. SIGMOD Conference (2015)
Shubhadip Mitra, Sayan Ranu, Vinay Kolar, Aditya Telang, Arnab Bhattacharya, Ravi Kokku, Sriram Raghavan
Trajectory Aware Macro-cell Planning for Mobile Users. CoRR (2015)
Sayan Ranu, Deepak P, Aditya D. Telang, Prasad Deshpande, Sriram Raghavan
Indexing and matching trajectories under inconsistent sampling rates. ICDE (2015)
Prithu Banerjee, Sayan Ranu, Sriram Raghavan
Inferring Uncertain Trajectories from Partial Observations. ICDM (2014)
Sayan Ranu, Minh X. Hoang, Ambuj K. Singh
Answering top-k representative queries on graph databases. SIGMOD Conference (2014)
Sayan Ranu, Minh X. Hoang, Ambuj K. Singh
Applications of Top-k Representative Queries. SWIM (2014)
Vinay Kolar, Sayan Ranu, Anand Prabhu Subramanian, Yedendra Shrinivasan, Aditya Telang, Ravi Kokku, Sriram Raghavan
People in motion: Spatio-temporal analytics on Call Detail Records. COMSNETS (2014)
Deepak P, Sayan Ranu
Entity Linking: Detecting Entities within Text. COMAD (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sayan Ranu