Sayan Ranu

According to our database1, Sayan Ranu authored at least 64 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
KWIQ: Answering k-core Window Queries in Temporal Networks.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems.
CoRR, 2022

Global Counterfactual Explainer for Graph Neural Networks.
CoRR, 2022

Learning Rigid Body Dynamics with Lagrangian Graph Neural Network.
CoRR, 2022

Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems.
CoRR, 2022

Learning the Dynamics of Particle-based Systems with Lagrangian Graph Neural Networks.
CoRR, 2022

Lifelong Learning for Neural powered Mixed Integer Programming.
CoRR, 2022

Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

FairFoody: Bringing In Fairness in Food Delivery.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Answering Regular Path Queries through Exemplars.
Proc. VLDB Endow., 2021

Task and Model Agnostic Adversarial Attack on Graph Neural Networks.
CoRR, 2021

A Neural Framework for Learning Subgraph and Graph Similarity Measures.
CoRR, 2021

Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias.
CoRR, 2021

Balance Maximization in Signed Networks via Edge Deletions.
Proceedings of the WSDM '21, 2021

NeuroMLR: Robust & Reliable Route Recommendation on Road Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GraphReach: Position-Aware Graph Neural Network using Reachability Estimations.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Batching and Matching for Food Delivery in Dynamic Road Networks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

A Group-to-Group Version of Random Walk Betweenness Centrality.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020
Mining Top-k Pairs of Correlated Subgraphs in a Large Network.
Proc. VLDB Endow., 2020

GraphReach: Locality-Aware Graph Neural Networks using Reachability Estimations.
CoRR, 2020

GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
RISC: Rapid Inverted-Index Based Search of Chemical Fingerprints.
J. Chem. Inf. Model., 2019

Learning Heuristics over Large Graphs via Deep Reinforcement Learning.
CoRR, 2019

Beyond Shortest Paths: Route Recommendations for Ride-sharing.
Proceedings of the World Wide Web Conference, 2019

RAQ: Relationship-Aware Graph Querying in Large Networks.
Proceedings of the World Wide Web Conference, 2019

Efficiently Answering Regular Simple Path Queries on Large Labeled Networks.
Proceedings of the 2019 International Conference on Management of Data, 2019

Route Recommendations on Road Networks for Arbitrary User Preference Functions.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Influence Maximization Revisited: The State of the Art and the Gaps that Remain.
Proceedings of the Advances in Database Technology, 2019

NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

2018
Leveraging semantic resources in diversified query expansion.
World Wide Web, 2018

Noticeable Network Delay Minimization via Node Upgrades.
Proc. VLDB Endow., 2018

Resling: a scalable and generic framework to mine top-k representative subgraph patterns.
Knowl. Inf. Syst., 2018

Identifying User Intent and Context in Graph Queries.
CoRR, 2018

Route Recommendations for Idle Taxi Drivers: Find Me the Shortest Route to a Customer!
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Mining bus stops from raw GPS data of bus trajectories.
Proceedings of the 10th International Conference on Communication Systems & Networks, 2018

2017
SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries.
Proc. VLDB Endow., 2017

Predicting novel metabolic pathways through subgraph mining.
Bioinform., 2017

Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

A weight-based map matching algorithm using minimum input variables for urban road networks.
Proceedings of the 9th International Conference on Communication Systems and Networks, 2017

Big-Graphs: Querying, Mining, and Beyond.
Proceedings of the Handbook of Big Data Technologies, 2017

2016
Select, Link and Rank: Diversified Query Expansion and Entity Ranking Using Wikipedia.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

A Scalable and Generic Framework to Mine Top-k Representative Subgraph Patterns.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Trajectory aware macro-cell planning for mobile users.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Geo-Social Clustering of Places from Check-in Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Indexing and matching trajectories under inconsistent sampling rates.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Entity Linking for Web Search Queries.
Proceedings of the Advances in Information Retrieval, 2015

2014
Applications of Top-k Representative Queries.
Proceedings of the Sixth Workshop on Semantic Web Information Management, 2014

Answering top-k representative queries on graph databases.
Proceedings of the International Conference on Management of Data, 2014

Inferring Uncertain Trajectories from Partial Observations.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

People in motion: Spatio-temporal analytics on Call Detail Records.
Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014

Entity Linking: Detecting Entities within Text.
Proceedings of the 20th International Conference on Management of Data, 2014

2013
Mining discriminative subgraphs from global-state networks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Trajectory Analytics: Indexing, Mining, and Applications to Network Optimization.
Proceedings of the 19th International Conference on Management of Data, 2013

2012
Recommendations to boost content spread in social networks.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Indexing and mining topological patterns for drug discovery.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

2011
Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions.
Proc. VLDB Endow., 2011

Novel Method for Pharmacophore Analysis by Examining the Joint Pharmacophore Space.
J. Chem. Inf. Model., 2011

2009
Mining Statistically Significant Molecular Substructures for Efficient Molecular Classification.
J. Chem. Inf. Model., 2009

GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases.
Proceedings of the 25th International Conference on Data Engineering, 2009


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