Towards Scalable Network Delay Minimization. - Sourav Medya; Petko Bogdanov; Ambuj K. Singh (ICDM, 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 002 (ICPE, 2016)

Predictive modeling and scalability analysis for large graph analytics. - Sourav Medya; Ludmila Cherkasova; Ambuj K. Singh (IM, 2017)

Maximizing Coverage Centrality via Network Design: Extended Version. - Sourav Medya; Arlei Silva; Ambuj K. Singh; Prithwish Basu; Ananthram Swami (CoRR, 2017)

Group Centrality Maximization via Network Design. - Sourav Medya; Arlei Silva; Ambuj K. Singh; Prithwish Basu; Ananthram Swami (SDM, 2018)

Noticeable Network Delay Minimization via Node Upgrades. - Sourav Medya; Jithin Vachery; Sayan Ranu; Ambuj K. Singh (Proc. VLDB Endow., 2018)

Making a Small World Smaller: Path Optimization in Networks. - Sourav Medya; Petko Bogdanov; Ambuj K. Singh (IEEE Trans. Knowl. Data Eng., 2018)

Covert Networks: How Hard is It to Hide? - Palash Dey; Sourav Medya (AAMAS, 2019)

Influence Minimization Under Budget and Matroid Constraints: Extended Version. - Sourav Medya; Arlei Silva; Ambuj K. Singh (CoRR, 2019)

K-Core Minimization: A Game Theoretic Approach. - Sourav Medya; Tiyani Ma; Arlei Silva; Ambuj K. Singh (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)

Manipulating Node Similarity Measures in Network. - Palash Dey; Sourav Medya (CoRR, 2019)

Scalable Algorithms for Network Design. - Sourav Medya (2019)

Manipulating Node Similarity Measures in Networks. - Palash Dey; Sourav Medya (AAMAS, 2020)

A Game Theoretic Approach For k-Core Minimization. - Sourav Medya; Tianyi Ma; Arlei Silva; Ambuj K. Singh (AAMAS, 2020)

A Game Theoretic Approach For Core Resilience. - Sourav Medya; Tiyani Ma; Arlei Silva; Ambuj K. Singh (IJCAI, 2020)

GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs. - Sahil Manchanda; Akash Mittal; Anuj Dhawan; Sourav Medya; Sayan Ranu; Ambuj K. Singh (NeurIPS, 2020)

Investigating the Ground-level Ozone Formation and Future Trend in Taiwan. - Yu-Wen Chen; Sourav Medya; Yi-Chun Chen (CoRR, 2020)

Network Robustness via Global k-cores. - Palash Dey; Suman Kalyan Maity; Sourav Medya; Arlei Silva (AAMAS, 2021)

Balance Maximization in Signed Networks via Edge Deletions. - Kartik Sharma; Iqra Altaf Gillani; Sourav Medya; Sayan Ranu; Amitabha Bagchi (WSDM, 2021)

Meta-Learning with Graph Neural Networks: Methods and Applications. - Debmalya Mandal; Sourav Medya; Brian Uzzi; Charu Aggarwal 001 (CoRR, 2021)

Feature-based Individual Fairness in k-Clustering. - Debajyoti Kar; Sourav Medya; Debmalya Mandal; Arlei Silva; Palash Dey; Swagato Sanyal (CoRR, 2021)

Event Detection on Dynamic Graphs. - Mert Kosan; Arlei Silva; Sourav Medya; Brian Uzzi; Ambuj K. Singh (CoRR, 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)

MetaLearning with Graph Neural Networks: Methods and Applications. - Debmalya Mandal; Sourav Medya; Brian Uzzi; Charu Aggarwal 001 (SIGKDD Explor., 2021)

GREED: A Neural Framework for Learning Graph Distance Functions. - Rishabh Ranjan; Siddharth Grover; Sourav Medya; Venkatesan T. Chakaravarthy; Yogish Sabharwal; Sayan Ranu (NeurIPS, 2022)

An Exploratory Study of Stock Price Movements from Earnings Calls. - Sourav Medya; Mohammad Rasoolinejad; Yang Yang 008; Brian Uzzi (WWW (Companion Volume), 2022)

Incorporating Heterophily into Graph Neural Networks for Graph Classification. - Wei Ye 001; Jiayi Yang; Sourav Medya; Ambuj K. Singh (CoRR, 2022)

Approximate Algorithms for Data-Driven Influence Limitation. - Sourav Medya; Arlei Silva; Ambuj K. Singh (IEEE Trans. Knowl. Data Eng., 2022)

Task and Model Agnostic Adversarial Attack on Graph Neural Networks. - Kartik Sharma; Samidha Verma; Sourav Medya; Arnab Bhattacharya 001; Sayan Ranu (AAAI, 2023)

Feature-based Individual Fairness in k-clustering. - Debajyoti Kar; Mert Kosan; Debmalya Mandal; Sourav Medya; Arlei Silva; Palash Dey; Swagato Sanyal (AAMAS, 2023)

Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis. - Zhu Wang; Sourav Medya; Sathya N. Ravi (NeurIPS, 2023)

Global Counterfactual Explainer for Graph Neural Networks. - Zexi Huang; Mert Kosan; Sourav Medya; Sayan Ranu; Ambuj K. Singh (WSDM, 2023)

Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis. - Zhu Wang; Sourav Medya; Sathya N. Ravi (CoRR, 2023)

Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity. - Samidha Verma; Burouj Armgaan; Sourav Medya; Sayan Ranu (CoRR, 2023)

A Survey on Explainability of Graph Neural Networks. - Jaykumar Kakkad; Jaspal Jannu; Kartik Sharma; Charu Aggarwal 001; Sourav Medya (IEEE Data Eng. Bull., 2023)

DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization. - Aritra Bhowmick; Mert Kosan; Zexi Huang; Ambuj K. Singh; Sourav Medya (AAAI, 2024)

COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems. - Hao Tian; Sourav Medya; Wei Ye 001 (AAAI, 2024)

VeriBug: An Attention-Based Framework for Bug Localization in Hardware Designs. - Giuseppe Stracquadanio; Sourav Medya; Stefano Quer; Debjit Pal (DATE, 2024)

Predictive Modeling of Application Runtime in Dragonfly Systems. - Pietro Lodi Rizzini; Xin Wang 115; Kevin A. Brown; Sourav Medya; Zhiling Lan (DDDAS/Infosymbiotics, 2024)

An Experimental Analysis on Evaluating Patent Citations. - Rabindra Nath Nandi; Suman Kalyan Maity; Brian Uzzi; Sourav Medya (EMNLP, 2024)

DETECTive: Machine Learning-driven Automatic Test Pattern Prediction for Faults in Digital Circuits. - Vincenzo Petrolo; Sourav Medya; Mariagrazia Graziano; Debjit Pal (ACM Great Lakes Symposium on VLSI, 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 (ICLR, 2024)

NeuroCut: A Neural Approach for Robust Graph Partitioning. - Rishi Shah; Krishnanshu Jain; Sahil Manchanda; Sourav Medya; Sayan Ranu (KDD, 2024)

GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules. - Burouj Armgaan; Manthan Dalmia; Sourav Medya; Sayan Ranu (NeurIPS, 2024)

IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents. - Homaira Huda Shomee; Zhu Wang; Sathya N. Ravi; Sourav Medya (NeurIPS, 2024)

Incorporating Heterophily into Graph Neural Networks for Graph Classification. - Jiayi Yang; Sourav Medya; Wei Ye 001 (SMC, 2024)

Game-theoretic Counterfactual Explanation for Graph Neural Networks. - Chirag Chhablani; Sarthak Jain; Akshay Channesh; Ian A. Kash; Sourav Medya (WWW, 2024)

A Comprehensive Survey on AI-based Methods for Patents. - Homaira Huda Shomee; Zhu Wang; Sathya N. Ravi; Sourav Medya (CoRR, 2024)

Design Requirements for Human-Centered Graph Neural Network Explanations. - Pantea Habibi; Peyman Baghershahi; Sourav Medya; Debaleena Chattopadhyay (CoRR, 2024)

Uncertainty in Graph Neural Networks: A Survey. - Fangxin Wang 003; Yuqing Liu 003; Kay Liu; Yibo Wang 001; Sourav Medya; Philip S. Yu (Trans. Mach. Learn. Res., 2024)

InduCE: Inductive Counterfactual Explanations for Graph Neural Networks. - Samidha Verma; Burouj Armgaan; Sourav Medya; Sayan Ranu (Trans. Mach. Learn. Res., 2024)

Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach. - Rochana Chaturvedi; Peyman Baghershahi; Sourav Medya; Barbara Di Eugenio (ACL (1), 2025)

A Survey on Patent Analysis: From NLP to Multimodal AI. - Homaira Huda Shomee; Zhu Wang; Sathya N. Ravi; Sourav Medya (ACL (1), 2025)

How Older Adults Communicate their Technology Problems: Challenges and Design Opportunities. - Hasti Sharifi; Homaira Huda Shomee; Sourav Medya; Debaleena Chattopadhyay (CHI Extended Abstracts, 2025)

BANGS: Game-theoretic Node Selection for Graph Self-Training. - Fangxin Wang 003; Kay Liu; Sourav Medya; Philip S. Yu (ICLR, 2025)

Fact-based Counter Narrative Generation to Combat Hate Speech. - Brian Wilk; Homaira Huda Shomee; Suman Kalyan Maity; Sourav Medya (WWW, 2025)

Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects. - Shishir Adhikari; Sourav Medya; Elena Zheleva (CoRR, 2025)

LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. - Weizhi Zhang 001; Liangwei Yang; Wooseong Yang; Henry Peng Zou; Yuqing Liu 003; Ke Xu; Sourav Medya; Philip S. Yu (CoRR, 2025)

COMRECGC: Global Graph Counterfactual Explainer through Common Recourse. - Gregoire Fournier; Sourav Medya (CoRR, 2025)

Unsupervised Prompting for Graph Neural Networks. - Peyman Baghershahi; Sourav Medya (CoRR, 2025)

PATENTWRITER: A Benchmarking Study for Patent Drafting with LLMs. - Homaira Huda Shomee; Suman Kalyan Maity; Sourav Medya (CoRR, 2025)

From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context. - Peyman Baghershahi; Gregoire Fournier; Pranav Nyati; Sourav Medya (CoRR, 2025)

DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding. - Zhu Wang; Homaira Huda Shomee; Sathya N. Ravi; Sourav Medya (CoRR, 2025)