Sayan Ranu

Panagiotis Karras

CoRR, 2024

2023

Learning the dynamics of particle-based systems with Lagrangian graph neural networks.

[BibT_eX]

[DOI]

Prajit Prashant Sinai Nadkarni

Mach. Learn. Sci. Technol., March, 2023

NeuroCUT: A Neural Approach for Robust Graph Partitioning.

[BibT_eX]

[DOI]

CoRR, 2023

Mirage: Model-Agnostic Graph Distillation for Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2023

EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations.

[BibT_eX]

[DOI]

CoRR, 2023

GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking.

[BibT_eX]

[DOI]

CoRR, 2023

Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Neural Stochastic Differential Equations for Learning Brownian Dynamics.

[BibT_eX]

[DOI]

CoRR, 2023

Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity.

[BibT_eX]

[DOI]

CoRR, 2023

GSHOT: Few-shot Generative Modeling of Labeled Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Fair Allocation in Social Commerce Platforms.

[BibT_eX]

[DOI]

Narendra Varma Dasararaju

Muthusamy Chelliah

Proceedings of the ACM Web Conference 2023, 2023

Global Counterfactual Explainer for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Learning and Maximizing Influence in Social Networks Under Capacity Constraints.

[BibT_eX]

[DOI]

Pritish Chakraborty

Krishna Sri Ipsit Mantri

Abir De

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling.

[BibT_eX]

[DOI]

Sachin Chauhan

Zeel Bharatkumar Patel

Rijurekha Sen

Nipun Batra

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Frigate: Frugal Spatio-temporal Forecasting on Road Networks.

[BibT_eX]

[DOI]

Mridul Gupta

Hariprasad Kodamana

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

KWIQ: Answering k-core Window Queries in Temporal Networks.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

Task and Model Agnostic Adversarial Attack on Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

LIMIP: Lifelong Learning to Solve Mixed Integer Programs.

[BibT_eX]

[DOI]

Sahil Manchanda

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

FoodMatch: Batching and Matching for Food Delivery in Dynamic Road Networks.

[BibT_eX]

[DOI]

ACM Trans. Spatial Algorithms Syst., March, 2022

Learning Rigid Body Dynamics with Lagrangian Graph Neural Network.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Lifelong Learning for Neural powered Mixed Integer Programming.

[BibT_eX]

[DOI]

Sahil Manchanda

Venkatesan T. Chakaravarthy

CoRR, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GREED: A Neural Framework for Learning Graph Distance Functions.

[BibT_eX]

[DOI]

Rishabh Ranjan

Siddharth Grover

Sourav Medya

Yogish Sabharwal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network.

[BibT_eX]

[DOI]

Venkatesan T. Chakaravarthy

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

FairFoody: Bringing In Fairness in Food Delivery.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Answering Regular Path Queries through Exemplars.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

A Neural Framework for Learning Subgraph and Graph Similarity Measures.

[BibT_eX]

[DOI]

Rishabh Ranjan

Siddharth Grover

Sourav Medya

Yogish Sabharwal

CoRR, 2021

Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias.

[BibT_eX]

[DOI]

CoRR, 2021

Balance Maximization in Signed Networks via Edge Deletions.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

NeuroMLR: Robust & Reliable Route Recommendation on Road Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Batching and Matching for Food Delivery in Dynamic Road Networks.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

A Group-to-Group Version of Random Walk Betweenness Centrality.

[BibT_eX]

[DOI]

Iqra Altaf Gillani

Amitabha Bagchi

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.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation.

[BibT_eX]

[DOI]

Nikhil Goyal

Harsh Vardhan Jain

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jithin Vachery

J. Chem. Inf. Model., 2019

Learning Heuristics over Large Graphs via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Beyond Shortest Paths: Route Recommendations for Ride-sharing.

[BibT_eX]

[DOI]

Chak Fai Yuen

Abhishek Pratap Singh

Sagar Goyal

Amitabha Bagchi

Proceedings of the World Wide Web Conference, 2019

RAQ: Relationship-Aware Graph Querying in Large Networks.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Efficiently Answering Regular Simple Path Queries on Large Labeled Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Management of Data, 2019

Route Recommendations on Road Networks for Arbitrary User Preference Functions.

[BibT_eX]

[DOI]

Pranali Yawalkar

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Influence Maximization Revisited: The State of the Art and the Gaps that Remain.

[BibT_eX]

[DOI]

Akhil Arora

Sainyam Galhotra

Proceedings of the Advances in Database Technology, 2019

NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services.

[BibT_eX]

[DOI]

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

2018

Leveraging semantic resources in diversified query expansion.

[BibT_eX]

[DOI]

World Wide Web, 2018

Noticeable Network Delay Minimization via Node Upgrades.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

Resling: a scalable and generic framework to mine top-k representative subgraph patterns.

[BibT_eX]

[DOI]

Dheepikaa Natarajan

Knowl. Inf. Syst., 2018

Identifying User Intent and Context in Graph Queries.

[BibT_eX]

[DOI]

CoRR, 2018

Route Recommendations for Idle Taxi Drivers: Find Me the Shortest Route to a Customer!

[BibT_eX]

[DOI]

Nandani Garg

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Mining bus stops from raw GPS data of bus trajectories.

[BibT_eX]

[DOI]

Nandani Garg

Gitakrishnan Ramadurai

Proceedings of the 10th International Conference on Communication Systems & Networks, 2018

2017

SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries.

[BibT_eX]

[DOI]

Shiladitya Pande

Arnab Bhattacharya

Proc. VLDB Endow., 2017

Predicting novel metabolic pathways through subgraph mining.

[BibT_eX]

[DOI]

Aravind Sankar

Karthik Raman

Bioinform., 2017

Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study.

[BibT_eX]

[DOI]

Akhil Arora

Sainyam Galhotra

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Communication Systems and Networks, 2017

Big-Graphs: Querying, Mining, and Beyond.

[BibT_eX]

[DOI]

Arijit Khan

Proceedings of the Handbook of Big Data Technologies, 2017

2016

Select, Link and Rank: Diversified Query Expansion and Entity Ranking Using Wikipedia.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories.

[BibT_eX]

[DOI]

Prithu Banerjee

Pranali Yawalkar

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.

[BibT_eX]

[DOI]

Dheepikaa Natarajan

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks.

[BibT_eX]

[DOI]

Saket Gurukar

Balaraman Ravindran

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.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Geo-Social Clustering of Places from Check-in Data.

[BibT_eX]

[DOI]

Shivam Srivastava

Shiladitya Pande

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Indexing and matching trajectories under inconsistent sampling rates.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Entity Linking for Web Search Queries.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2015

2014

Applications of Top-k Representative Queries.

[BibT_eX]

[DOI]

Minh X. Hoang

Proceedings of the Sixth Workshop on Semantic Web Information Management, 2014

Answering top-k representative queries on graph databases.

[BibT_eX]

[DOI]

Minh X. Hoang

Proceedings of the International Conference on Management of Data, 2014

Inferring Uncertain Trajectories from Partial Observations.

[BibT_eX]

[DOI]

Prithu Banerjee

Sriram Raghavan

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

People in motion: Spatio-temporal analytics on Call Detail Records.

[BibT_eX]

[DOI]

Vinay Kolar

Anand Prabhu Subramanian

Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014

Entity Linking: Detecting Entities within Text.

[BibT_eX]

[DOI]

Deepak P

Proceedings of the 20th International Conference on Management of Data, 2014

2013

Mining discriminative subgraphs from global-state networks.

[BibT_eX]

[DOI]

Minh X. Hoang

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Trajectory Analytics: Indexing, Mining, and Applications to Network Optimization.

[BibT_eX]

[DOI]

Aditya Telang

Vinay Kolar

Proceedings of the 19th International Conference on Management of Data, 2013

2012

Recommendations to boost content spread in social networks.

[BibT_eX]

[DOI]

Proceedings of the 21st World Wide Web Conference 2012, 2012

Indexing and mining topological patterns for drug discovery.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Extending Database Technology, 2012

2011

Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2011

Novel Method for Pharmacophore Analysis by Examining the Joint Pharmacophore Space.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2011

2009

Mining Statistically Significant Molecular Substructures for Efficient Molecular Classification.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2009

GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases.

[BibT_eX]

[DOI]