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ORCIDSourav Medya
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2020 – today
- 2024
[j6]Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu:
InduCE: Inductive Counterfactual Explanations for Graph Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)- [c25]Aritra Bhowmick, Mert Kosan, Zexi Huang, Ambuj K. Singh, Sourav Medya:
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization. AAAI 2024: 11069-11077 - [c24]Hao Tian, Sourav Medya, Wei Ye:
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems. AAAI 2024: 20812-20820 - [c23]Giuseppe Stracquadanio, Sourav Medya, Stefano Quer, Debjit Pal:
VeriBug: An Attention-Based Framework for Bug Localization in Hardware Designs. DATE 2024: 1-2 - [c22]Rabindra Nath Nandi, Suman Kalyan Maity, Brian Uzzi, Sourav Medya:
An Experimental Analysis on Evaluating Patent Citations. EMNLP 2024: 373-387 - [c21]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: 32-37 - [c20]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 - [c19]Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu:
NeuroCut: A Neural Approach for Robust Graph Partitioning. KDD 2024: 2584-2595 - [c18]Chirag Chhablani, Sarthak Jain, Akshay Channesh, Ian A. Kash, Sourav Medya:
Game-theoretic Counterfactual Explanation for Graph Neural Networks. WWW 2024: 503-514 - [i30]Giuseppe Stracquadanio, Sourav Medya, Stefano Quer, Debjit Pal:
VeriBug: An Attention-based Framework for Bug-Localization in Hardware Designs. CoRR abs/2401.09494 (2024) - [i29]Chirag Chhablani, Sarthak Jain, Akshay Channesh, Ian A. Kash, Sourav Medya:
Game-theoretic Counterfactual Explanation for Graph Neural Networks. CoRR abs/2402.06030 (2024) - [i28]Fangxin Wang, Yuqing Liu, Kay Liu, Yibo Wang, Sourav Medya, Philip S. Yu:
Uncertainty in Graph Neural Networks: A Survey. CoRR abs/2403.07185 (2024) - [i27]Homaira Huda Shomee, Zhu Wang, Sathya N. Ravi, Sourav Medya:
A Comprehensive Survey on AI-based Methods for Patents. CoRR abs/2404.08668 (2024) - [i26]Pantea Habibi, Peyman Baghershahi, Sourav Medya, Debaleena Chattopadhyay:
Design Requirements for Human-Centered Graph Neural Network Explanations. CoRR abs/2405.06917 (2024) - 2023
- [j5]Jaykumar Kakkad, Jaspal Jannu, Kartik Sharma, Charu Aggarwal, Sourav Medya:
A Survey on Explainability of Graph Neural Networks. IEEE Data Eng. Bull. 46(2): 35-63 (2023) - [c17]Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu:
Task and Model Agnostic Adversarial Attack on Graph Neural Networks. AAAI 2023: 15091-15099 - [c16]Debajyoti Kar, Mert Kosan, Debmalya Mandal, Sourav Medya, Arlei Silva, Palash Dey, Swagato Sanyal:
Feature-based Individual Fairness in k-clustering. AAMAS 2023: 2772-2774 - [c15]Zhu Wang, Sourav Medya, Sathya N. Ravi:
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis. NeurIPS 2023 - [c14]Zexi Huang, Mert Kosan, Sourav Medya, Sayan Ranu, Ambuj K. Singh:
Global Counterfactual Explainer for Graph Neural Networks. WSDM 2023: 141-149 - [i25]Zhu Wang, Sourav Medya, Sathya N. Ravi:
Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis. CoRR abs/2302.05608 (2023) - [i24]Jaykumar Kakkad, Jaspal Jannu, Kartik Sharma, Charu C. Aggarwal, Sourav Medya:
A Survey on Explainability of Graph Neural Networks. CoRR abs/2306.01958 (2023) - [i23]Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu:
Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity. CoRR abs/2306.04835 (2023) - [i22]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 abs/2310.01794 (2023) - [i21]Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu:
NeuroCUT: A Neural Approach for Robust Graph Partitioning. CoRR abs/2310.11787 (2023) - [i20]Hao Tian, Sourav Medya, Wei Ye:
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems. CoRR abs/2312.09086 (2023) - [i19]Aritra Bhowmick, Mert Kosan, Zexi Huang, Ambuj K. Singh, Sourav Medya:
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization. CoRR abs/2312.12697 (2023) - 2022
- [j4]Sourav Medya, Arlei Silva, Ambuj K. Singh:
Approximate Algorithms for Data-Driven Influence Limitation. IEEE Trans. Knowl. Data Eng. 34(6): 2641-2652 (2022) - [c13]Rishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Sayan Ranu:
GREED: A Neural Framework for Learning Graph Distance Functions. NeurIPS 2022 - [c12]Sourav Medya, Mohammad Rasoolinejad, Yang Yang, Brian Uzzi:
An Exploratory Study of Stock Price Movements from Earnings Calls. WWW (Companion Volume) 2022: 20-31 - [i18]Wei Ye, Jiayi Yang, Sourav Medya, Ambuj K. Singh:
Incorporating Heterophily into Graph Neural Networks for Graph Classification. CoRR abs/2203.07678 (2022) - [i17]Sourav Medya, Mohammad Rasoolinejad, Yang Yang, Brian Uzzi:
An Exploratory Study of Stock Price Movements from Earnings Calls. CoRR abs/2203.12460 (2022) - [i16]Mert Kosan, Zexi Huang, Sourav Medya, Sayan Ranu, Ambuj K. Singh:
Global Counterfactual Explainer for Graph Neural Networks. CoRR abs/2210.11695 (2022) - 2021
- [j3]Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal:
MetaLearning with Graph Neural Networks: Methods and Applications. SIGKDD Explor. 23(2): 13-22 (2021) - [c11]Palash Dey, Suman Kalyan Maity, Sourav Medya, Arlei Silva:
Network Robustness via Global k-cores. AAMAS 2021: 438-446 - [c10]Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi:
Balance Maximization in Signed Networks via Edge Deletions. WSDM 2021: 752-760 - [i15]Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal:
Meta-Learning with Graph Neural Networks: Methods and Applications. CoRR abs/2103.00137 (2021) - [i14]Debajyoti Kar, Sourav Medya, Debmalya Mandal, Arlei Silva, Palash Dey, Swagato Sanyal:
Feature-based Individual Fairness in k-Clustering. CoRR abs/2109.04554 (2021) - [i13]Mert Kosan, Arlei Silva, Sourav Medya, Brian Uzzi, Ambuj K. Singh:
Event Detection on Dynamic Graphs. CoRR abs/2110.12148 (2021) - [i12]Rishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Sayan Ranu:
A Neural Framework for Learning Subgraph and Graph Similarity Measures. CoRR abs/2112.13143 (2021) - [i11]Kartik Sharma, Samidha Verma, Sourav Medya, Sayan Ranu, Arnab Bhattacharya:
Task and Model Agnostic Adversarial Attack on Graph Neural Networks. CoRR abs/2112.13267 (2021) - 2020
- [c9]Palash Dey, Sourav Medya:
Manipulating Node Similarity Measures in Networks. AAMAS 2020: 321-329 - [c8]Sourav Medya, Tianyi Ma, Arlei Silva, Ambuj K. Singh:
A Game Theoretic Approach For k-Core Minimization. AAMAS 2020: 1922-1924 - [c7]Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh:
A Game Theoretic Approach For Core Resilience. IJCAI 2020: 3473-3479 - [c6]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 - [i10]Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi:
Balance Maximization in Signed Networks via Edge Deletions. CoRR abs/2010.10991 (2020) - [i9]Palash Dey, Suman Kalyan Maity, Sourav Medya, Arlei Silva:
Network Robustness via Global k-cores. CoRR abs/2012.10036 (2020) - [i8]Yu-Wen Chen, Sourav Medya, Yi-Chun Chen:
Investigating the Ground-level Ozone Formation and Future Trend in Taiwan. CoRR abs/2012.10058 (2020)
2010 – 2019
- 2019
- [b1]Sourav Medya:
Scalable Algorithms for Network Design. University of California, Santa Barbara, USA, 2019 - [c5]Palash Dey, Sourav Medya:
Covert Networks: How Hard is It to Hide? AAMAS 2019: 628-637 - [i7]Sourav Medya, Arlei Silva, Ambuj K. Singh:
Influence Minimization Under Budget and Matroid Constraints: Extended Version. CoRR abs/1901.02156 (2019) - [i6]Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh:
K-Core Minimization: A Game Theoretic Approach. CoRR abs/1901.02166 (2019) - [i5]Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh:
Learning Heuristics over Large Graphs via Deep Reinforcement Learning. CoRR abs/1903.03332 (2019) - [i4]Palash Dey, Sourav Medya:
Covert Networks: How Hard is It to Hide? CoRR abs/1903.05832 (2019) - [i3]Palash Dey, Sourav Medya:
Manipulating Node Similarity Measures in Network. CoRR abs/1910.11529 (2019) - 2018
- [j2]Sourav Medya, Jithin Vachery, Sayan Ranu, Ambuj K. Singh:
Noticeable Network Delay Minimization via Node Upgrades. Proc. VLDB Endow. 11(9): 988-1001 (2018) - [j1]Sourav Medya, Petko Bogdanov, Ambuj K. Singh:
Making a Small World Smaller: Path Optimization in Networks. IEEE Trans. Knowl. Data Eng. 30(8): 1533-1546 (2018) - [c4]Sourav Medya, Arlei Silva, Ambuj K. Singh, Prithwish Basu, Ananthram Swami:
Group Centrality Maximization via Network Design. SDM 2018: 126-134 - 2017
- [c3]Sourav Medya, Ludmila Cherkasova, Ambuj K. Singh:
Predictive modeling and scalability analysis for large graph analytics. IM 2017: 63-71 - [i2]Sourav Medya, Arlei Silva, Ambuj K. Singh, Prithwish Basu, Ananthram Swami:
Maximizing Coverage Centrality via Network Design: Extended Version. CoRR abs/1702.04082 (2017) - 2016
- [c2]Sourav Medya, Petko Bogdanov, Ambuj K. Singh:
Towards Scalable Network Delay Minimization. ICDM 2016: 1083-1088 - [c1]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: 113-116 - [i1]Sourav Medya, Petko Bogdanov, Ambuj K. Singh:
Towards Scalable Network Delay Minimization. CoRR abs/1609.08228 (2016)
Coauthor Index
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last updated on 2024-11-13 23:51 CET by the dblp team
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