Sourav Medya

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 60

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Publications

Fangxin Wang, Yuqing Liu, Kay Liu, Yibo Wang, Sourav Medya, Philip S. Yu
Uncertainty in Graph Neural Networks: A Survey. CoRR (2024)
Hao Tian, Sourav Medya, Wei Ye
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems. AAAI (2024)
Giuseppe Stracquadanio, Sourav Medya, Stefano Quer, Debjit Pal
VeriBug: An Attention-based Framework for Bug-Localization in Hardware Designs. CoRR (2024)
Vincenzo Petrolo, Sourav Medya, Mariagrazia Graziano, Debjit Pal
DETECTive: Machine Learning-driven Automatic Test Pattern Prediction for Faults in Digital Circuits. ACM Great Lakes Symposium on VLSI (2024)
Chirag Chhablani, Sarthak Jain, Akshay Channesh, Ian A. Kash, Sourav Medya
Game-theoretic Counterfactual Explanation for Graph Neural Networks. WWW (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)
Pantea Habibi, Peyman Baghershahi, Sourav Medya, Debaleena Chattopadhyay
Design Requirements for Human-Centered Graph Neural Network Explanations. CoRR (2024)
Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu
InduCE: Inductive Counterfactual Explanations for Graph Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
Homaira Huda Shomee, Zhu Wang, Sathya N. Ravi, Sourav Medya
A Comprehensive Survey on AI-based Methods for Patents. CoRR (2024)
Giuseppe Stracquadanio, Sourav Medya, Stefano Quer, Debjit Pal
VeriBug: An Attention-Based Framework for Bug Localization in Hardware Designs. DATE (2024)
Chirag Chhablani, Sarthak Jain, Akshay Channesh, Ian A. Kash, Sourav Medya
Game-theoretic Counterfactual Explanation for 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)
Aritra Bhowmick, Mert Kosan, Zexi Huang, Ambuj K. Singh, Sourav Medya
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization. AAAI (2024)
Zhu Wang, Sourav Medya, Sathya N. Ravi
Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis. CoRR (2023)
Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu
Task and Model Agnostic Adversarial Attack on Graph Neural Networks. AAAI (2023)
Debajyoti Kar, Mert Kosan, Debmalya Mandal, Sourav Medya, Arlei Silva, Palash Dey, Swagato Sanyal
Feature-based Individual Fairness in k-clustering. AAMAS (2023)
Hao Tian, Sourav Medya, Wei Ye
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems. CoRR (2023)
Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu
Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity. CoRR (2023)
Jaykumar Kakkad, Jaspal Jannu, Kartik Sharma, Charu Aggarwal, Sourav Medya
A Survey on Explainability of Graph Neural Networks. IEEE Data Eng. Bull. 46 (2) (2023)
Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu
NeuroCUT: A Neural Approach for Robust Graph Partitioning. CoRR (2023)
Zhu Wang, Sourav Medya, Sathya N. Ravi
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis. NeurIPS (2023)
Aritra Bhowmick, Mert Kosan, Zexi Huang, Ambuj K. Singh, Sourav Medya
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization. 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)
Jaykumar Kakkad, Jaspal Jannu, Kartik Sharma, Charu C. Aggarwal, Sourav Medya
A Survey on Explainability of Graph Neural Networks. CoRR (2023)
Sourav Medya, Mohammad Rasoolinejad, Yang Yang, Brian Uzzi
An Exploratory Study of Stock Price Movements from Earnings Calls. WWW (Companion Volume) (2022)
Wei Ye, Jiayi Yang, Sourav Medya, Ambuj K. Singh
Incorporating Heterophily into Graph Neural Networks for Graph Classification. CoRR (2022)
Sourav Medya, Mohammad Rasoolinejad, Yang Yang, Brian Uzzi
An Exploratory Study of Stock Price Movements from Earnings Calls. CoRR (2022)
Sourav Medya, Arlei Silva, Ambuj K. Singh
Approximate Algorithms for Data-Driven Influence Limitation. IEEE Trans. Knowl. Data Eng. 34 (6) (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)
Mert Kosan, Zexi Huang, Sourav Medya, Sayan Ranu, Ambuj K. Singh
Global Counterfactual Explainer for Graph Neural Networks. CoRR (2022)
Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal
Meta-Learning with Graph Neural Networks: Methods and Applications. CoRR (2021)
Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal
MetaLearning with Graph Neural Networks: Methods and Applications. SIGKDD Explor. 23 (2) (2021)
Mert Kosan, Arlei Silva, Sourav Medya, Brian Uzzi, Ambuj K. Singh
Event Detection on Dynamic Graphs. CoRR (2021)
Kartik Sharma, Samidha Verma, Sourav Medya, Sayan Ranu, Arnab Bhattacharya
Task and Model Agnostic Adversarial Attack on Graph Neural Networks. CoRR (2021)
Palash Dey, Suman Kalyan Maity, Sourav Medya, Arlei Silva
Network Robustness via Global k-cores. AAMAS (2021)
Debajyoti Kar, Sourav Medya, Debmalya Mandal, Arlei Silva, Palash Dey, Swagato Sanyal
Feature-based Individual Fairness in k-Clustering. CoRR (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)
Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi
Balance Maximization in Signed Networks via Edge Deletions. WSDM (2021)
Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi
Balance Maximization in Signed Networks via Edge Deletions. CoRR (2020)
Yu-Wen Chen, Sourav Medya, Yi-Chun Chen
Investigating the Ground-level Ozone Formation and Future Trend in Taiwan. CoRR (2020)
Palash Dey, Suman Kalyan Maity, Sourav Medya, Arlei Silva
Network Robustness via Global k-cores. CoRR (2020)
Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh
A Game Theoretic Approach For Core Resilience. IJCAI (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)
Sourav Medya, Tianyi Ma, Arlei Silva, Ambuj K. Singh
A Game Theoretic Approach For k-Core Minimization. AAMAS (2020)
Palash Dey, Sourav Medya
Manipulating Node Similarity Measures in Networks. AAMAS (2020)
Palash Dey, Sourav Medya
Covert Networks: How Hard is It to Hide? AAMAS (2019)
Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh
K-Core Minimization: A Game Theoretic Approach. CoRR (2019)
Palash Dey, Sourav Medya
Manipulating Node Similarity Measures in Network. CoRR (2019)
Sourav Medya, Arlei Silva, Ambuj K. Singh
Influence Minimization Under Budget and Matroid Constraints: Extended Version. CoRR (2019)
Palash Dey, Sourav Medya
Covert Networks: How Hard is It to Hide? CoRR (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)
Sourav Medya, Arlei Silva, Ambuj K. Singh, Prithwish Basu, Ananthram Swami
Group Centrality Maximization via Network Design. SDM (2018)
Sourav Medya, Jithin Vachery, Sayan Ranu, Ambuj K. Singh
Noticeable Network Delay Minimization via Node Upgrades. Proc. VLDB Endow. 11 (9) (2018)
Sourav Medya, Petko Bogdanov, Ambuj K. Singh
Making a Small World Smaller: Path Optimization in Networks. IEEE Trans. Knowl. Data Eng. 30 (8) (2018)
Sourav Medya, Ludmila Cherkasova, Ambuj K. Singh
Predictive modeling and scalability analysis for large graph analytics. IM (2017)
Sourav Medya, Arlei Silva, Ambuj K. Singh, Prithwish Basu, Ananthram Swami
Maximizing Coverage Centrality via Network Design: Extended Version. CoRR (2017)
Sourav Medya, Ludmila Cherkasova, Guilherme Magalhaes, Kivanc M. Ozonat, Chaitra Padmanabha, Jiban Sarma, Imran Sheikh
Towards Performance and Scalability Analysis of Distributed Memory Programs on Large-Scale Clusters. ICPE (2016)
Sourav Medya, Petko Bogdanov, Ambuj K. Singh
Towards Scalable Network Delay Minimization. ICDM (2016)
Sourav Medya, Petko Bogdanov, Ambuj K. Singh
Towards Scalable Network Delay Minimization. CoRR (2016)