Sourav Medya - RankMe

90 papers A* 18A 9B 3Journal 51Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language Models. CoRR Angelo Zangari, Peyman Baghershahi, Sourav Medya
2026	J	`jnl`	Empowering Older Adults in Digital Technology Use with Foundation Models. CoRR Hasti Sharifi, Homaira Huda Shomee, Sourav Medya, Debaleena Chattopadhyay
2026	A*	`conf`	SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems. AAAI Xin Wang, Pietro Lodi Rizzini, Sourav Medya, Zhiling Lan
2025	—	`conf`	A Survey on Patent Analysis: From NLP to Multimodal AI. ACL (1) Homaira Huda Shomee, Zhu Wang, Sathya N. Ravi, Sourav Medya
2025	A*	`conf`	BANGS: Game-theoretic Node Selection for Graph Self-Training. ICLR Fangxin Wang, Kay Liu, Sourav Medya, Philip S. Yu
2025	A*	`conf`	COMRECGC: Global Graph Counterfactual Explainer through Common Recourse. ICML Gregoire Fournier, Sourav Medya
2025	J	`jnl`	COMRECGC: Global Graph Counterfactual Explainer through Common Recourse. CoRR Gregoire Fournier, Sourav Medya
2025	—	`conf`	DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding. EMNLP (Findings) Zhu Wang, Homaira Huda Shomee, Sathya N. Ravi, Sourav Medya
2025	J	`jnl`	DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding. CoRR Zhu Wang, Homaira Huda Shomee, Sathya N. Ravi, Sourav Medya
2025	A*	`conf`	Fact-based Counter Narrative Generation to Combat Hate Speech. WWW Brian Wilk, Homaira Huda Shomee, Suman Kalyan Maity, Sourav Medya
2025	J	`jnl`	From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context. CoRR Peyman Baghershahi, Gregoire Fournier, Pranav Nyati, Sourav Medya
2025	J	`jnl`	GCFExplainer: Global Counterfactual Explainer for Graph Neural Networks. ACM Trans. Intell. Syst. Technol. Mert Kosan, Zexi Huang, Sourav Medya, Sayan Ranu, Ambuj Singh
2025	—	`conf`	How Older Adults Communicate their Technology Problems: Challenges and Design Opportunities. CHI Extended Abstracts Hasti Sharifi, Homaira Huda Shomee, Sourav Medya, Debaleena Chattopadhyay
2025	—	`conf`	LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. EMNLP (Industry Track) Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu
2025	J	`jnl`	LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. CoRR Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu
2025	J	`jnl`	Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects. CoRR Shishir Adhikari, Sourav Medya, Elena Zheleva
2025	J	`jnl`	PATENTWRITER: A Benchmarking Study for Patent Drafting with LLMs. CoRR Homaira Huda Shomee, Suman Kalyan Maity, Sourav Medya
2025	J	`jnl`	Preference-driven Knowledge Distillation for Few-shot Node Classification. CoRR Xing Wei, Chunchun Chen, Rui Fan, Xiaofeng Cao, Sourav Medya, Wei Ye
2025	J	`jnl`	SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems. CoRR Xin Wang, Pietro Lodi Rizzini, Sourav Medya, Zhiling Lan
2025	—	`conf`	Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach. ACL (1) Rochana Chaturvedi, Peyman Baghershahi, Sourav Medya, Barbara Di Eugenio
2025	J	`jnl`	Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach. CoRR Rochana Chaturvedi, Peyman Baghershahi, Sourav Medya, Barbara Di Eugenio
2025	J	`jnl`	Unsupervised Prompting for Graph Neural Networks. CoRR Peyman Baghershahi, Sourav Medya
2024	J	`jnl`	A Comprehensive Survey on AI-based Methods for Patents. CoRR Homaira Huda Shomee, Zhu Wang, Sathya N. Ravi, Sourav Medya
2024	A*	`conf`	An Experimental Analysis on Evaluating Patent Citations. EMNLP Rabindra Nath Nandi, Suman Kalyan Maity, Brian Uzzi, Sourav Medya
2024	J	`jnl`	BANGS: Game-Theoretic Node Selection for Graph Self-Training. CoRR Fangxin Wang, Kay Liu, Sourav Medya, Philip S. Yu
2024	A*	`conf`	COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems. AAAI Hao Tian, Sourav Medya, Wei Ye
2024	—	`conf`	DETECTive: Machine Learning-driven Automatic Test Pattern Prediction for Faults in Digital Circuits. ACM Great Lakes Symposium on VLSI Vincenzo Petrolo, Sourav Medya, Mariagrazia Graziano, Debjit Pal
2024	A*	`conf`	DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization. AAAI Aritra Bhowmick, Mert Kosan, Zexi Huang, Ambuj K. Singh, Sourav Medya
2024	J	`jnl`	Design Requirements for Human-Centered Graph Neural Network Explanations. CoRR Pantea Habibi, Peyman Baghershahi, Sourav Medya, Debaleena Chattopadhyay
2024	A*	`conf`	GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking. ICLR Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj K. Singh, Sourav Medya, Sayan Ranu
2024	A*	`conf`	Game-theoretic Counterfactual Explanation for Graph Neural Networks. WWW Chirag Chhablani, Sarthak Jain, Akshay Channesh, Ian A. Kash, Sourav Medya
2024	J	`jnl`	Game-theoretic Counterfactual Explanation for Graph Neural Networks. CoRR Chirag Chhablani, Sarthak Jain, Akshay Channesh, Ian A. Kash, Sourav Medya
2024	A*	`conf`	GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules. NeurIPS Burouj Armgaan, Manthan Dalmia, Sourav Medya, Sayan Ranu
2024	A*	`conf`	IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents. NeurIPS Homaira Huda Shomee, Zhu Wang, Sathya N. Ravi, Sourav Medya
2024	B	`conf`	Incorporating Heterophily into Graph Neural Networks for Graph Classification. SMC Jiayi Yang, Sourav Medya, Wei Ye
2024	J	`jnl`	InduCE: Inductive Counterfactual Explanations for Graph Neural Networks. Trans. Mach. Learn. Res. Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu
2024	A*	`conf`	NeuroCut: A Neural Approach for Robust Graph Partitioning. KDD Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu
2024	—	`conf`	Predictive Modeling of Application Runtime in Dragonfly Systems. DDDAS/Infosymbiotics Pietro Lodi Rizzini, Xin Wang, Kevin A. Brown, Sourav Medya, Zhiling Lan
2024	J	`jnl`	Uncertainty in Graph Neural Networks: A Survey. CoRR Fangxin Wang, Yuqing Liu, Kay Liu, Yibo Wang, Sourav Medya, Philip S. Yu
2024	J	`jnl`	Uncertainty in Graph Neural Networks: A Survey. Trans. Mach. Learn. Res. Fangxin Wang, Yuqing Liu, Kay Liu, Yibo Wang, Sourav Medya, Philip S. Yu
2024	A	`conf`	VeriBug: An Attention-Based Framework for Bug Localization in Hardware Designs. DATE Giuseppe Stracquadanio, Sourav Medya, Stefano Quer, Debjit Pal
2024	J	`jnl`	VeriBug: An Attention-based Framework for Bug-Localization in Hardware Designs. CoRR Giuseppe Stracquadanio, Sourav Medya, Stefano Quer, Debjit Pal
2023	J	`jnl`	A Survey on Explainability of Graph Neural Networks. CoRR Jaykumar Kakkad, Jaspal Jannu, Kartik Sharma, Charu C. Aggarwal, Sourav Medya
2023	J	`jnl`	A Survey on Explainability of Graph Neural Networks. IEEE Data Eng. Bull. Jaykumar Kakkad, Jaspal Jannu, Kartik Sharma, Charu Aggarwal, Sourav Medya
2023	J	`jnl`	COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems. CoRR Hao Tian, Sourav Medya, Wei Ye
2023	J	`jnl`	DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization. CoRR Aritra Bhowmick, Mert Kosan, Zexi Huang, Ambuj K. Singh, Sourav Medya
2023	J	`jnl`	Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis. CoRR Zhu Wang, Sourav Medya, Sathya N. Ravi
2023	J	`jnl`	Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity. CoRR Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu
2023	A	`conf`	Feature-based Individual Fairness in k-clustering. AAMAS Debajyoti Kar, Mert Kosan, Debmalya Mandal, Sourav Medya, Arlei Silva, Palash Dey, Swagato Sanyal
2023	J	`jnl`	GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking. CoRR Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj K. Singh, Sourav Medya, Sayan Ranu
2023	A	`conf`	Global Counterfactual Explainer for Graph Neural Networks. WSDM Zexi Huang, Mert Kosan, Sourav Medya, Sayan Ranu, Ambuj K. Singh
2023	A*	`conf`	Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis. NeurIPS Zhu Wang, Sourav Medya, Sathya N. Ravi
2023	J	`jnl`	NeuroCUT: A Neural Approach for Robust Graph Partitioning. CoRR Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu
2023	A*	`conf`	Task and Model Agnostic Adversarial Attack on Graph Neural Networks. AAAI Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu
2022	—	`conf`	An Exploratory Study of Stock Price Movements from Earnings Calls. WWW (Companion Volume) Sourav Medya, Mohammad Rasoolinejad, Yang Yang, Brian Uzzi
2022	J	`jnl`	An Exploratory Study of Stock Price Movements from Earnings Calls. CoRR Sourav Medya, Mohammad Rasoolinejad, Yang Yang, Brian Uzzi
2022	J	`jnl`	Approximate Algorithms for Data-Driven Influence Limitation. IEEE Trans. Knowl. Data Eng. Sourav Medya, Arlei Silva, Ambuj K. Singh
2022	A*	`conf`	GREED: A Neural Framework for Learning Graph Distance Functions. NeurIPS Rishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Sayan Ranu
2022	J	`jnl`	Global Counterfactual Explainer for Graph Neural Networks. CoRR Mert Kosan, Zexi Huang, Sourav Medya, Sayan Ranu, Ambuj K. Singh
2022	J	`jnl`	Incorporating Heterophily into Graph Neural Networks for Graph Classification. CoRR Wei Ye, Jiayi Yang, Sourav Medya, Ambuj K. Singh
2021	J	`jnl`	A Neural Framework for Learning Subgraph and Graph Similarity Measures. CoRR Rishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Sayan Ranu
2021	A	`conf`	Balance Maximization in Signed Networks via Edge Deletions. WSDM Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi
2021	J	`jnl`	Event Detection on Dynamic Graphs. CoRR Mert Kosan, Arlei Silva, Sourav Medya, Brian Uzzi, Ambuj K. Singh
2021	J	`jnl`	Feature-based Individual Fairness in k-Clustering. CoRR Debajyoti Kar, Sourav Medya, Debmalya Mandal, Arlei Silva, Palash Dey, Swagato Sanyal
2021	J	`jnl`	Meta-Learning with Graph Neural Networks: Methods and Applications. CoRR Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal
2021	J	`jnl`	MetaLearning with Graph Neural Networks: Methods and Applications. SIGKDD Explor. Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal
2021	A	`conf`	Network Robustness via Global k-cores. AAMAS Palash Dey, Suman Kalyan Maity, Sourav Medya, Arlei Silva
2021	J	`jnl`	Task and Model Agnostic Adversarial Attack on Graph Neural Networks. CoRR Kartik Sharma, Samidha Verma, Sourav Medya, Sayan Ranu, Arnab Bhattacharya
2020	A*	`conf`	A Game Theoretic Approach For Core Resilience. IJCAI Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh
2020	A	`conf`	A Game Theoretic Approach For k-Core Minimization. AAMAS Sourav Medya, Tianyi Ma, Arlei Silva, Ambuj K. Singh
2020	J	`jnl`	Balance Maximization in Signed Networks via Edge Deletions. CoRR Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi
2020	A*	`conf`	GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs. NeurIPS Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh
2020	J	`jnl`	Investigating the Ground-level Ozone Formation and Future Trend in Taiwan. CoRR Yu-Wen Chen, Sourav Medya, Yi-Chun Chen
2020	A	`conf`	Manipulating Node Similarity Measures in Networks. AAMAS Palash Dey, Sourav Medya
2020	J	`jnl`	Network Robustness via Global k-cores. CoRR Palash Dey, Suman Kalyan Maity, Sourav Medya, Arlei Silva
2019	A	`conf`	Covert Networks: How Hard is It to Hide? AAMAS Palash Dey, Sourav Medya
2019	J	`jnl`	Covert Networks: How Hard is It to Hide? CoRR Palash Dey, Sourav Medya
2019	J	`jnl`	Influence Minimization Under Budget and Matroid Constraints: Extended Version. CoRR Sourav Medya, Arlei Silva, Ambuj K. Singh
2019	J	`jnl`	K-Core Minimization: A Game Theoretic Approach. CoRR Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh
2019	J	`jnl`	Learning Heuristics over Large Graphs via Deep Reinforcement Learning. CoRR Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh
2019	J	`jnl`	Manipulating Node Similarity Measures in Network. CoRR Palash Dey, Sourav Medya
2019	—	`—`	Scalable Algorithms for Network Design. Sourav Medya
2018	A	`conf`	Group Centrality Maximization via Network Design. SDM Sourav Medya, Arlei Silva, Ambuj K. Singh, Prithwish Basu, Ananthram Swami
2018	J	`jnl`	Making a Small World Smaller: Path Optimization in Networks. IEEE Trans. Knowl. Data Eng. Sourav Medya, Petko Bogdanov, Ambuj K. Singh
2018	J	`jnl`	Noticeable Network Delay Minimization via Node Upgrades. Proc. VLDB Endow. Sourav Medya, Jithin Vachery, Sayan Ranu, Ambuj K. Singh
2017	J	`jnl`	Maximizing Coverage Centrality via Network Design: Extended Version. CoRR Sourav Medya, Arlei Silva, Ambuj K. Singh, Prithwish Basu, Ananthram Swami
2017	B	`conf`	Predictive modeling and scalability analysis for large graph analytics. IM Sourav Medya, Ludmila Cherkasova, Ambuj K. Singh
2016	B	`conf`	Towards Performance and Scalability Analysis of Distributed Memory Programs on Large-Scale Clusters. ICPE Sourav Medya, Ludmila Cherkasova, Guilherme Magalhaes, Kivanc M. Ozonat, Chaitra Padmanabha, Jiban Sarma, Imran Sheikh
2016	A*	`conf`	Towards Scalable Network Delay Minimization. ICDM Sourav Medya, Petko Bogdanov, Ambuj K. Singh
2016	J	`jnl`	Towards Scalable Network Delay Minimization. CoRR Sourav Medya, Petko Bogdanov, Ambuj K. Singh