Sourav Medya

According to our database, Sourav Medya authored at least 47 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

InduCE: Inductive Counterfactual Explanations for Graph Neural Networks.

Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu

Trans. Mach. Learn. Res., 2024

Design Requirements for Human-Centered Graph Neural Network Explanations.

Pantea Habibi, Peyman Baghershahi, Sourav Medya, Debaleena Chattopadhyay

CoRR, 2024

A Comprehensive Survey on AI-based Methods for Patents.

Homaira Huda Shomee, Zhu Wang, Sathya N. Ravi, Sourav Medya

CoRR, 2024

Uncertainty in Graph Neural Networks: A Survey.

Fangxin Wang, Yuqing Liu, Kay Liu, Yibo Wang, Sourav Medya, Philip S. Yu

CoRR, 2024

Game-theoretic Counterfactual Explanation for Graph Neural Networks.

Chirag Chhablani, Sarthak Jain, Akshay Channesh, Ian A. Kash, Sourav Medya

Proceedings of the ACM on Web Conference 2024, 2024

NeuroCut: A Neural Approach for Robust Graph Partitioning.

Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu

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.

Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj K. Singh, Sourav Medya, Sayan Ranu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Vincenzo Petrolo, Sourav Medya, Mariagrazia Graziano, Debjit Pal

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

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

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.

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.

Aritra Bhowmick, Mert Kosan, Zexi Huang, Ambuj K. Singh, Sourav Medya

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

2023

A Survey on Explainability of Graph Neural Networks.

Jaykumar Kakkad, Jaspal Jannu, Kartik Sharma, Charu Aggarwal, Sourav Medya

IEEE Data Eng. Bull., 2023

Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity.

Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu

CoRR, 2023

Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis.

Zhu Wang, Sourav Medya, Sathya N. Ravi

CoRR, 2023

Global Counterfactual Explainer for Graph Neural Networks.

Zexi Huang, Mert Kosan, Sourav Medya, Sayan Ranu, Ambuj K. Singh

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

Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis.

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.

Debajyoti Kar, Mert Kosan, Debmalya Mandal, Sourav Medya, Arlei Silva, Palash Dey, Swagato Sanyal

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

Task and Model Agnostic Adversarial Attack on Graph Neural Networks.

Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu

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

2022

Approximate Algorithms for Data-Driven Influence Limitation.

Sourav Medya, Arlei Silva, Ambuj K. Singh

IEEE Trans. Knowl. Data Eng., 2022

Incorporating Heterophily into Graph Neural Networks for Graph Classification.

Wei Ye, Jiayi Yang, Sourav Medya, Ambuj K. Singh

CoRR, 2022

An Exploratory Study of Stock Price Movements from Earnings Calls.

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.

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.

Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal

SIGKDD Explor., 2021

A Neural Framework for Learning Subgraph and Graph Similarity Measures.

Rishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Sayan Ranu

CoRR, 2021

Event Detection on Dynamic Graphs.

Mert Kosan, Arlei Silva, Sourav Medya, Brian Uzzi, Ambuj K. Singh

CoRR, 2021

Feature-based Individual Fairness in k-Clustering.

Debajyoti Kar, Sourav Medya, Debmalya Mandal, Arlei Silva, Palash Dey, Swagato Sanyal

CoRR, 2021

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

Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal

CoRR, 2021

Balance Maximization in Signed Networks via Edge Deletions.

Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi

Proceedings of the WSDM '21, 2021

Network Robustness via Global k-cores.

Palash Dey, Suman Kalyan Maity, Sourav Medya, Arlei Silva

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.

Yu-Wen Chen, Sourav Medya, Yi-Chun Chen

CoRR, 2020

GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs.

Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh

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.

Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh

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

A Game Theoretic Approach For k-Core Minimization.

Sourav Medya, Tianyi Ma, Arlei Silva, Ambuj K. Singh

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

Manipulating Node Similarity Measures in Networks.

Palash Dey, Sourav Medya

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

2019

Scalable Algorithms for Network Design.

Sourav Medya

PhD thesis, 2019

Manipulating Node Similarity Measures in Network.

Palash Dey, Sourav Medya

CoRR, 2019

Learning Heuristics over Large Graphs via Deep Reinforcement Learning.

Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh

CoRR, 2019

K-Core Minimization: A Game Theoretic Approach.

Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh

CoRR, 2019

Influence Minimization Under Budget and Matroid Constraints: Extended Version.

Sourav Medya, Arlei Silva, Ambuj K. Singh

CoRR, 2019

Covert Networks: How Hard is It to Hide?

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.

Sourav Medya, Petko Bogdanov, Ambuj K. Singh

IEEE Trans. Knowl. Data Eng., 2018

Noticeable Network Delay Minimization via Node Upgrades.

Sourav Medya, Jithin Vachery, Sayan Ranu, Ambuj K. Singh

Proc. VLDB Endow., 2018

Group Centrality Maximization via Network Design.

Sourav Medya, Arlei Silva, Ambuj K. Singh, Prithwish Basu, Ananthram Swami

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

2017

Maximizing Coverage Centrality via Network Design: Extended Version.

Sourav Medya, Arlei Silva, Ambuj K. Singh, Prithwish Basu, Ananthram Swami

CoRR, 2017

Predictive modeling and scalability analysis for large graph analytics.

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.

Sourav Medya, Ludmila Cherkasova, Guilherme Magalhaes, Kivanc M. Ozonat, Chaitra Padmanabha, Jiban Sarma, Imran Sheikh

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

Towards Scalable Network Delay Minimization.

Sourav Medya, Petko Bogdanov, Ambuj K. Singh

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