Sourav Medya

Orcid: 0000-0003-0996-2807

According to our database¹, Sourav Medya authored at least 49 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2024

InduCE: Inductive Counterfactual Explanations for Graph Neural Networks.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

BANGS: Game-Theoretic Node Selection for Graph Self-Training.

[BibT_eX]

[DOI]

CoRR, 2024

Design Requirements for Human-Centered Graph Neural Network Explanations.

[BibT_eX]

[DOI]

Pantea Habibi

Peyman Baghershahi

Sourav Medya

Debaleena Chattopadhyay

CoRR, 2024

A Comprehensive Survey on AI-based Methods for Patents.

[BibT_eX]

[DOI]

CoRR, 2024

Uncertainty in Graph Neural Networks: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Game-theoretic Counterfactual Explanation for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

NeuroCut: A Neural Approach for Robust Graph Partitioning.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DETECTive: Machine Learning-driven Automatic Test Pattern Prediction for Faults in Digital Circuits.

[BibT_eX]

[DOI]

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

An Experimental Analysis on Evaluating Patent Citations.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

VeriBug: An Attention-Based Framework for Bug Localization in Hardware Designs.

[BibT_eX]

[DOI]

Giuseppe Stracquadanio

Sourav Medya

Stefano Quer

Debjit Pal

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems.

[BibT_eX]

[DOI]

Hao Tian

Sourav Medya

Wei Ye

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Survey on Explainability of Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2023

Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity.

[BibT_eX]

[DOI]

CoRR, 2023

Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis.

[BibT_eX]

[DOI]

Zhu Wang

Sourav Medya

Sathya N. Ravi

CoRR, 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

Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis.

[BibT_eX]

[DOI]

Zhu Wang

Sourav Medya

Sathya N. Ravi

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

Feature-based Individual Fairness in k-clustering.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 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

2022

Approximate Algorithms for Data-Driven Influence Limitation.

[BibT_eX]

[DOI]

Sourav Medya

Arlei Silva

Ambuj K. Singh

IEEE Trans. Knowl. Data Eng., 2022

Incorporating Heterophily into Graph Neural Networks for Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2022

An Exploratory Study of Stock Price Movements from Earnings Calls.

[BibT_eX]

[DOI]

Sourav Medya

Mohammad Rasoolinejad

Yang Yang

Brian Uzzi

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

GREED: A Neural Framework for Learning Graph Distance Functions.

[BibT_eX]

[DOI]

Rishabh Ranjan

Siddharth Grover

Sourav Medya

Venkatesan T. Chakaravarthy

Yogish Sabharwal

Sayan Ranu

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

2021

MetaLearning with Graph Neural Networks: Methods and Applications.

[BibT_eX]

[DOI]

SIGKDD Explor., 2021

A Neural Framework for Learning Subgraph and Graph Similarity Measures.

[BibT_eX]

[DOI]

Rishabh Ranjan

Siddharth Grover

Sourav Medya

Venkatesan T. Chakaravarthy

Yogish Sabharwal

Sayan Ranu

CoRR, 2021

Event Detection on Dynamic Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

Feature-based Individual Fairness in k-Clustering.

[BibT_eX]

[DOI]

CoRR, 2021

Meta-Learning with Graph Neural Networks: Methods and Applications.

[BibT_eX]

[DOI]

CoRR, 2021

Balance Maximization in Signed Networks via Edge Deletions.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Network Robustness via Global k-cores.

[BibT_eX]

[DOI]

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Investigating the Ground-level Ozone Formation and Future Trend in Taiwan.

[BibT_eX]

[DOI]

Yu-Wen Chen

Sourav Medya

Yi-Chun Chen

CoRR, 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

A Game Theoretic Approach For Core Resilience.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Game Theoretic Approach For k-Core Minimization.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Manipulating Node Similarity Measures in Networks.

[BibT_eX]

[DOI]

Palash Dey

Sourav Medya

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Scalable Algorithms for Network Design.

[BibT_eX]

[DOI]

Sourav Medya

PhD thesis, 2019

Manipulating Node Similarity Measures in Network.

[BibT_eX]

[DOI]

Palash Dey

Sourav Medya

CoRR, 2019

Learning Heuristics over Large Graphs via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

K-Core Minimization: A Game Theoretic Approach.

[BibT_eX]

[DOI]

CoRR, 2019

Influence Minimization Under Budget and Matroid Constraints: Extended Version.

[BibT_eX]

[DOI]

Sourav Medya

Arlei Silva

Ambuj K. Singh

CoRR, 2019

Covert Networks: How Hard is It to Hide?

[BibT_eX]

[DOI]

Palash Dey

Sourav Medya

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Making a Small World Smaller: Path Optimization in Networks.

[BibT_eX]

[DOI]

Sourav Medya

Petko Bogdanov

Ambuj K. Singh

IEEE Trans. Knowl. Data Eng., 2018

Noticeable Network Delay Minimization via Node Upgrades.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

Group Centrality Maximization via Network Design.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2017

Maximizing Coverage Centrality via Network Design: Extended Version.

[BibT_eX]

[DOI]

CoRR, 2017

Predictive modeling and scalability analysis for large graph analytics.

[BibT_eX]

[DOI]

Sourav Medya

Ludmila Cherkasova

Ambuj K. Singh

Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017

2016

Towards Performance and Scalability Analysis of Distributed Memory Programs on Large-Scale Clusters.

[BibT_eX]

[DOI]

Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering, 2016

Towards Scalable Network Delay Minimization.

[BibT_eX]

[DOI]

Sourav Medya

Petko Bogdanov

Ambuj K. Singh

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

Sourav Medya

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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