Mahantesh Halappanavar

183 papers A* 6A 23B 8C 11Misc 5Journal 80Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation. CoRR Zhisheng Qi, Utkarsh Sahu, Li Ma, Haoyu Han, Ryan Rossi, Franck Dernoncourt, Mahantesh Halappanavar, Nesreen K. Ahmed, Yushun Dong, Yue Zhao, Yu Zhang, Yu Wang
2026	A	`conf`	Knowledge Homophily in Large Language Models. WSDM Utkarsh Sahu, Zhisheng Qi, Mahantesh Halappanavar, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Yu Zhang, Yao Ma, Yu Wang
2026	A	`conf`	Rule Mining and Learning for Structured Knowledge Retrieval. WSDM Yongjia Lei, Mahantesh Halappanavar, Yu Wang
2025	—	`conf`	ATT&CK to CVE: A Large-Scale Automated Knowledge Graph for Threat Intelligence. ICDM (Workshops) Moqsadur Rahman, Monika Akbar, Joseph T. Aguayo, Mahmud Shahriar Hossain, Tina M. Ellis, Siddhartha Shankar Das, Mohammad Fakhruddin Babar, Monowar Hasan, Aaron Sanchez, Luis Fernando Lago-Fernández, Mahantesh Halappanavar
2025	—	`conf`	Anonymized Network Sensing using C++26 std::execution on GPUs. HPEC Michael Mandulak, Sayan Ghosh, S. M. Ferdous, Mahantesh Halappanavar, George M. Slota
2025	J	`jnl`	Anonymized Network Sensing using C++26 std::execution on GPUs. CoRR Michael Mandulak, Sayan Ghosh, S. M. Ferdous, Mahantesh Halappanavar, George M. Slota
2025	J	`jnl`	ApproxJoin: Approximate Matching for Efficient Verification in Fuzzy Set Similarity Join. CoRR Michael Mandulak, S. M. Ferdous, Sayan Ghosh, Mahantesh Halappanavar, George M. Slota
2025	A	`conf`	DIMPLES: Distributed Influence Maximization for Pandemic pLanning on Exascale Systems. ICS Marco Minutoli, Reece Neff, Naw Safrin Sattar, Hao Lu, John Feo, Henning S. Mortveit, Anil Vullikanti, Dawen Xie, Mandy L. Wilson, Gregor von Laszewski, Parantapa Bhattacharya, S. M. Ferdous, Ananth Kalyanaraman, Michela Becchi, Madhav V. Marathe, Mahantesh Halappanavar
2025	—	`conf`	Denoising Diffusion Probabilistic Models for Coastal Inundation Forecasting. SIGSPATIAL/GIS Kazi Ashik Islam, Zakaria Mehrab, Mahantesh Halappanavar, Henning S. Mortveit, Sridhar Katragadda, Jon Derek Loftis, Madhav V. Marathe
2025	J	`jnl`	Denoising Diffusion Probabilistic Models for Coastal Inundation Forecasting. CoRR Kazi Ashik Islam, Zakaria Mehrab, Mahantesh Halappanavar, Henning S. Mortveit, Sridhar Katragadda, Jon Derek Loftis, Madhav V. Marathe
2025	—	`conf`	Disharmony: Forensics Using Reverse Lighting Harmonization. WACV (Workshops) Philip Wootaek Shin, Jack Sampson, Vijaykrishnan Narayanan, Andres Marquez, Mahantesh Halappanavar
2025	J	`jnl`	Disharmony: Forensics using Reverse Lighting Harmonization. CoRR Philip Wootaek Shin, Jack Sampson, Vijaykrishnan Narayanan, Andres Marquez, Mahantesh Halappanavar
2025	—	`conf`	ELRUHNA: Elimination Rule-Based Hypergraph Alignment. ASONAM (1) Cameron Ibrahim, S. M. Ferdous, Ilya Safro, Marco Minutoli, Mahantesh Halappanavar
2025	J	`jnl`	ELRUHNA: Elimination Rule-basedHypergraph Alignment. CoRR Cameron Ibrahim, S. M. Ferdous, Ilya Safro, Marco Minutoli, Mahantesh Halappanavar
2025	A	`conf`	FlowForecaster: Automatically Inferring Detailed & Interpretable Workflow Scaling Models for Forecasts. IPDPS Hyungro Lee, Jesun Firoz, Nathan R. Tallent, Luanzheng Guo, Mahantesh Halappanavar
2025	J	`jnl`	GNN-Based Candidate Node Predictor for Influence Maximization in Temporal Graphs. CoRR Priyanka Gautam, Balasubramaniam Natarajan, Sai Munikoti, S. M. Ferdous, Mahantesh Halappanavar
2025	J	`jnl`	GreediRIS: Scalable influence maximization using distributed streaming maximum cover. J. Parallel Distributed Comput. Reet Barik, Wade Cappa, S. M. Ferdous, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman
2025	J	`jnl`	Knowledge Homophily in Large Language Models. CoRR Utkarsh Sahu, Zhisheng Qi, Mahantesh Halappanavar, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Yu Zhang, Yao Ma, Yu Wang
2025	J	`jnl`	Losing the Plot: How VLM responses degrade on imperfect charts. CoRR Philip Wootaek Shin, Jack Sampson, Vijaykrishnan Narayanan, Andrés Márquez, Mahantesh Halappanavar
2025	—	`conf`	Machine Learning on Graphs in the Era of Generative Artificial Intelligence. KDD (2) Yu Wang, Yu Zhang, Zhichun Guo, Harry Shomer, Haoyu Han, Tyler Derr, Nesreen K. Ahmed, Mahantesh Halappanavar, Jiliang Tang
2025	J	`jnl`	On the System Theoretic Offline Learning of Continuous-Time LQR with Exogenous Disturbances. CoRR Sayak Mukherjee, Ramij Raja Hossain, Mahantesh Halappanavar
2025	J	`jnl`	Retrieval-Augmented Generation with Graphs (GraphRAG). CoRR Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang
2025	—	`conf`	Revisiting Pebble Games for Modeling and Efficient Use of Disaggregated Memory Systems. MEMSYS Anusha Devulapally, Mahantesh Halappanavar, Bruno Jacob, Vijaykrishnan Narayanan, Andres Marquez
2025	J	`jnl`	ScaWL: Scaling k-WL (Weisfeiler-Lehman) Algorithms in Memory and Performance on Shared and Distributed-Memory Systems. ACM Trans. Archit. Code Optim. Coby Soss, Aravind Sukumaran-Rajam, Janet Layne, Edoardo Serra, Mahantesh Halappanavar, Assefaw H. Gebremedhin
2025	J	`jnl`	Structural Validation of Synthetic Power Distribution Networks Using The Multiscale Flat Norm. Int. J. Comput. Geom. Appl. Kostiantyn Lyman, Rounak Meyur, Bala Krishnamoorthy, Mahantesh Halappanavar
2024	C	`conf`	A Performance and Energy Study of GPU-Resident Preconditioners for Conjugate Gradient Solvers: In the Context of Existing and Novel Approaches. SBAC-PAD Kasia Swirydowicz, Jesun Firoz, Joseph B. Manzano, Mahantesh Halappanavar, Stephen Thomas, Kevin J. Barker
2024	J	`jnl`	An Integrated Epidemic Simulation Workflow for Submodular Intervention Strategies. CoRR Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman
2024	J	`jnl`	Approximate Bipartite b-Matching using Multiplicative Auction. CoRR Bhargav Samineni, S. M. Ferdous, Mahantesh Halappanavar, Bala Krishnamoorthy
2024	J	`jnl`	Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications. IEEE Trans. Neural Networks Learn. Syst. Sai Munikoti, Deepesh Agarwal, Laya Das, Mahantesh Halappanavar, Balasubramaniam Natarajan
2024	J	`jnl`	DISHONEST: Dissecting misInformation Spread using Homogeneous sOcial NEtworks and Semantic Topic classification. CoRR Caleb Stam, Emily Saldanha, Mahantesh Halappanavar, Anurag Acharya
2024	—	`conf`	Distributed Multi-GPU Community Detection on Exascale Computing Platforms. IPDPS (Workshops) Naw Safrin Sattar, Hao Lu, Feiyi Wang, Mahantesh Halappanavar
2024	A	`conf`	Efficient Weighted Graph Matching on GPUs. SC Michael Mandulak, Sayan Ghosh, S. M. Ferdous, Mahantesh Halappanavar, George M. Slota
2024	B	`conf`	Exploring the Landscape of Distributed Graph Clustering on Leadership Supercomputers. IEEE Big Data Naw Safrin Sattar, Abigail Kapocius, Hao Lu, Mahantesh Halappanavar, Feiyi Wang
2024	A	`conf`	FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems. ICS Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi
2024	J	`jnl`	GraMeR: Graph Meta Reinforcement learning for multi-objective influence maximization. J. Parallel Distributed Comput. Sai Munikoti, Balasubramaniam Natarajan, Mahantesh Halappanavar
2024	J	`jnl`	GreediRIS: Scalable Influence Maximization using Distributed Streaming Maximum Cover. CoRR Reet Barik, Wade Cappa, S. M. Ferdous, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman
2024	J	`jnl`	Learning to Simulate Aerosol Dynamics with Graph Neural Networks. CoRR Fabiana Ferracina, Payton Beeler, Mahantesh Halappanavar, Bala Krishnamoorthy, Marco Minutoli, Laura Fierce
2024	J	`jnl`	Parallel Algorithms for Median Consensus Clustering in Complex Networks. CoRR Md Taufique Hussain, Mahantesh Halappanavar, Samrat Chatterjee, Filippo Radicchi, Santo Fortunato, Ariful Azad
2024	J	`jnl`	PermitQA: A Benchmark for Retrieval Augmented Generation in Wind Siting and Permitting domain. CoRR Rounak Meyur, Hung Phan, Sridevi Wagle, Jan Strube, Mahantesh Halappanavar, Sameera Horawalavithana, Anurag Acharya, Sai Munikoti
2024	A	`conf`	Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. IPDPS S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar
2024	J	`jnl`	Predictive Analytics of Varieties of Potatoes. CoRR Fabiana Ferracina, Bala Krishnamoorthy, Mahantesh Halappanavar, Shengwei Hu, Vidyasagar Sathuvalli
2024	J	`jnl`	RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension. CoRR Hung Phan, Anurag Acharya, Sarthak Chaturvedi, Shivam Sharma, Mike Parker, Dan Nally, Ali Jannesari, Karl Pazdernik, Mahantesh Halappanavar, Sai Munikoti, Sameera Horawalavithana
2024	A	`conf`	Semi-Streaming Algorithms for Weighted k-Disjoint Matchings. ESA S. M. Ferdous, Bhargav Samineni, Alex Pothen, Mahantesh Halappanavar, Bala Krishnamoorthy
2024	A*	`conf`	Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach. AAAI Yu Wang, Yuxuan Yin, Karthik Somayaji N. S., Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li
2024	B	`conf`	Streaming Matching and Edge Cover in Practice. SEA S. M. Ferdous, Alex Pothen, Mahantesh Halappanavar
2024	J	`jnl`	Structural Validation Of Synthetic Power Distribution Networks Using The Multiscale Flat Norm. CoRR Kostiantyn Lyman, Rounak Meyur, Bala Krishnamoorthy, Mahantesh Halappanavar
2024	—	`conf`	Using Isoefficiency as a Metric to Assess Disaggregated Memory Systems for High Performance Computing. MEMSYS Anusha Devulapally, Mahantesh Halappanavar, Amit Puri, Vijaykrishnan Narayanan, Andres Marquez
2024	J	`jnl`	\texttt{Picasso}: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. CoRR S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar
2023	C	`conf`	AMG Preconditioners based on Parallel Hybrid Coarsening and Multi-objective Graph Matching. PDP Pasqua D'Ambra, Fabio Durastante, S. M. Ferdous, Salvatore Filippone, Mahantesh Halappanavar, Alex Pothen
2023	C	`conf`	Accelerating Scientific Simulations with Bi-Fidelity Weighted Transfer Learning. ICMLA Katarzyna Borowiec, Dan Lu, Vikas Chandan, Samrat Chatterjee, Pradeep Ramuhalli, Ramakrishna Tipireddy, Mahantesh Halappanavar, Frank Liu
2023	J	`jnl`	Deep Reinforcement Learning for Cyber System Defense under Dynamic Adversarial Uncertainties. CoRR Ashutosh Dutta, Samrat Chatterjee, Arnab Bhattacharya, Mahantesh Halappanavar
2023	J	`jnl`	Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory. CoRR Karthik Somayaji N. S., Yu Wang, Malachi Schram, Ján Drgona, Mahantesh Halappanavar, Frank Liu, Peng Li
2023	A	`conf`	FPGA Acceleration of GCN in Light of the Symmetry of Graph Adjacency Matrix. DATE Gopikrishnan Raveendran Nair, Han-Sok Suh, Mahantesh Halappanavar, Frank Liu, Jae-sun Seo, Yu Cao
2023	A*	`conf`	Faster approximate subgraph counts with privacy. NeurIPS Dung Nguyen, Mahantesh Halappanavar, Venkatesh Srinivasan, Anil Vullikanti
2023	J	`jnl`	Fused Breadth-First Probabilistic Traversals on Distributed GPU Systems. CoRR Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi
2023	J	`jnl`	Perspectives on AI Architectures and Co-design for Earth System Predictability. CoRR Maruti K. Mudunuru, James A. Ang, Mahantesh Halappanavar, Simon D. Hammond, Maya B. Gokhale, James C. Hoe, Tushar Krishna, Sarat Sreepathi, Matthew R. Norman, Ivy Bo Peng, Philip W. Jones
2023	J	`jnl`	Robust Differentiable Predictive Control with Safety Guarantees: A Predictive Safety Filter Approach. CoRR Wenceslao Shaw-Cortez, Ján Drgona, Draguna L. Vrabie, Mahantesh Halappanavar
2023	C	`conf`	Scaling Optimal Allocation of Cloud Resources Using Lagrange Relaxation. JSSPP Luis de la Torre, Mahantesh Halappanavar
2023	J	`jnl`	Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach. CoRR Yu Wang, Yuxuan Yin, Karthik Somayaji Nanjangud Suryanarayana, Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li
2023	J	`jnl`	Streaming Algorithms for Weighted k-Disjoint Matchings. CoRR S. M. Ferdous, Bhargav Samineni, Alex Pothen, Mahantesh Halappanavar, Bala Krishnamoorthy
2023	—	`conf`	Structural Validation of Synthetic Power Distribution Networks Using the Multiscale Flat Norm. ICCS (4) Rounak Meyur, Kostiantyn Lyman, Bala Krishnamoorthy, Mahantesh Halappanavar
2023	J	`jnl`	There is more to graphs than meets the eye: Learning universal features with self-supervision. CoRR Laya Das, Sai Munikoti, Mahantesh Halappanavar
2023	—	`conf`	cuAlign: Scalable Network Alignment on GPU Accelerators. SC Workshops Lizhi Xiang, Arif M. Khan, S. M. Ferdous, Aravind Sukumaran-Rajam, Mahantesh Halappanavar
2022	J	`jnl`	Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications. CoRR Sai Munikoti, Deepesh Agarwal, Laya Das, Mahantesh Halappanavar, Balasubramaniam Natarajan
2022	J	`jnl`	Characterizing Performance of Graph Neighborhood Communication Patterns. IEEE Trans. Parallel Distributed Syst. Sayan Ghosh, Nathan R. Tallent, Mahantesh Halappanavar
2022	—	`conf`	Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach. CDC Wenceslao Shaw-Cortez, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
2022	J	`jnl`	Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach. CoRR Wenceslao Shaw-Cortez, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
2022	J	`jnl`	Direction-optimizing Label Propagation Framework for Structure Detection in Graphs: Design, Implementation, and Experimental Analysis. ACM J. Exp. Algorithmics Xu T. Liu, Andrew Lumsdaine, Mahantesh Halappanavar, Kevin J. Barker, Assefaw Hadish Gebremedhin
2022	J	`jnl`	Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains. CoRR Buddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy, Mahantesh Halappanavar
2022	J	`jnl`	GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization. CoRR Sai Munikoti, Balasubramaniam Natarajan, Mahantesh Halappanavar
2022	A*	`conf`	Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification. AAAI Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao
2022	B	`conf`	HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures. PACT Xinyu Chen, Marco Minutoli, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao
2022	J	`jnl`	HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures. CoRR Xinyu Chen, Marco Minutoli, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao
2022	Misc	`conf`	IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization. HIPC Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman
2022	J	`jnl`	Learning Stochastic Parametric Differentiable Predictive Control Policies. CoRR Ján Drgona, Sayak Mukherjee, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
2022	—	`conf`	Neural Lyapunov Differentiable Predictive Control. CDC Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
2022	J	`jnl`	Neural Lyapunov Differentiable Predictive Control. CoRR Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
2022	A*	`conf`	Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method. IJCAI Prathyush Sambaturu, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Anil Vullikanti
2022	J	`jnl`	Towards scaling community detection on distributed-memory heterogeneous systems. Parallel Comput. Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman
2022	B	`conf`	VWC-BERT: Scaling Vulnerability-Weakness-Exploit Mapping on Modern AI Accelerators. IEEE Big Data Siddhartha Shankar Das, Mahantesh Halappanavar, Antonino Tumeo, Edoardo Serra, Alex Pothen, Ehab Al-Shaer
2021	—	`conf`	A Parallel Approximation Algorithm for Maximizing Submodular ACDA S. M. Ferdous, Alex Pothen, Arif Khan, Ajay Panyala, Mahantesh Halappanavar
2021	J	`jnl`	A Parallel Approximation Algorithm for Maximizing Submodular b-Matching. CoRR S. M. Ferdous, Alex Pothen, Arif Khan, Ajay Panyala, Mahantesh Halappanavar
2021	J	`jnl`	EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. Int. J. High Perform. Comput. Appl. Seher Acer, Ariful Azad, Erik G. Boman, Aydin Buluç, Karen D. Devine, S. M. Ferdous, Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, Marco Minutoli, Alex Pothen, Sivasankaran Rajamanickam, Oguz Selvitopi, Nathan R. Tallent, Antonino Tumeo
2021	J	`jnl`	Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification. CoRR Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao
2021	—	`conf`	Graph analytics in the exascale era. CF Mahantesh Halappanavar, Marco Minutoli, Sayan Ghosh
2021	A*	`conf`	On the Stochastic Stability of Deep Markov Models. NeurIPS Ján Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar
2021	J	`jnl`	On the Stochastic Stability of Deep Markov Models. CoRR Ján Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar
2021	J	`jnl`	Risk-averse bi-level stochastic network interdiction model for cyber-security risk management. Int. J. Crit. Infrastructure Prot. Tanveer Hossain Bhuiyan, Hugh R. Medal, Apurba K. Nandi, Mahantesh Halappanavar
2021	—	`conf`	Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification. CSSL Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao
2021	A	`conf`	Single-node partitioned-memory for huge graph analytics: cost and performance trade-offs. SC Sayan Ghosh, Nathan R. Tallent, Marco Minutoli, Mahantesh Halappanavar, Ramesh Peri, Ananth Kalyanaraman
2021	C	`conf`	Transfer-Learnt Models for Predicting Electricity Consumption in Buildings with Limited and Sparse Field Data. ACC Milan Jain, Khushboo Gupta, Arun V. Sathanur, Vikas Chandan, Mahantesh Halappanavar
2021	B	`conf`	V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities. DSAA Siddhartha Shankar Das, Edoardo Serra, Mahantesh Halappanavar, Alex Pothen, Ehab Al-Shaer
2021	J	`jnl`	V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities. CoRR Siddhartha Shankar Das, Edoardo Serra, Mahantesh Halappanavar, Alex Pothen, Ehab Al-Shaer
2021	A	`conf`	cuTS: scaling subgraph isomorphism on distributed multi-GPU systems using trie based data structure. SC Lizhi Xiang, Arif Khan, Edoardo Serra, Mahantesh Halappanavar, Aravind Sukumaran-Rajam
2020	—	`conf`	Direction-optimizing label propagation and its application to community detection. CF Xu T. Liu, Mahantesh Halappanavar, Kevin J. Barker, Andrew Lumsdaine, Assefaw H. Gebremedhin
2020	J	`jnl`	Introduction to the TOPC Special Issue on Innovations in Systems for Irregular Applications, Part 1. ACM Trans. Parallel Comput. Antonino Tumeo, Fabrizio Petrini, John Feo, Mahantesh Halappanavar
2020	J	`jnl`	Introduction to the TOPC Special Issue on Innovations in Systems for Irregular Applications, Part 2. ACM Trans. Parallel Comput. Antonino Tumeo, Fabrizio Petrini, John Feo, Mahantesh Halappanavar
2020	—	`conf`	Message from the workshop chairs. IPDPS Workshops Scott McMillan, Manoj Kumar, Danai Koutra, Mahantesh Halappanavar, Tim Mattson, Antonino Tumeo
2020	A	`conf`	Preempt: scalable epidemic interventions using submodular optimization on multi-GPU systems. SC Marco Minutoli, Prathyush Sambaturu, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Anil Vullikanti
2020	—	`conf`	TriC: Distributed-memory Triangle Counting by Exploiting the Graph Structure. HPEC Sayan Ghosh, Mahantesh Halappanavar
2020	—	`conf`	Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation. IISWC Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Nathan R. Tallent, Ananth Kalyanaraman
2020	A	`conf`	cuRipples: influence maximization on multi-GPU systems. ICS Marco Minutoli, Maurizio Drocco, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman
2019	J	`jnl`	A 2/3-Approximation Algorithm for Vertex Weighted Matching in Bipartite Graphs. SIAM J. Sci. Comput. Florin Dobrian, Mahantesh Halappanavar, Alex Pothen, Ahmed Al-Herz
2019	J	`jnl`	A generative graph model for electrical infrastructure networks. J. Complex Networks Sinan G. Aksoy, Emilie Purvine, Eduardo Cotilla Sanchez, Mahantesh Halappanavar
2019	—	`conf`	Distributed Direction-Optimizing Label Propagation for Community Detection. HPEC Xu Liu, Jesun Sahariar Firoz, Marcin Zalewski, Mahantesh Halappanavar, Kevin J. Barker, Andrew Lumsdaine, Assefaw H. Gebremedhin
2019	A	`conf`	Exploring MPI Communication Models for Graph Applications Using Graph Matching as a Case Study. IPDPS Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, Assefaw H. Gebremedhin
2019	C	`conf`	Fast and Scalable Implementations of Influence Maximization Algorithms. CLUSTER Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Arun V. Sathanur, Ryan S. McClure, Jason E. McDermott
2019	Misc	`conf`	Mapping Arbitrarily Sparse Two-Body Interactions on One-Dimensional Quantum Circuits. HiPC Arif M. Khan, Mahantesh Halappanavar, Tobias Hagge, Karol Kowalski, Alex Pothen, Sriram Krishnamoorthy
2019	—	`conf`	Scaling and Quality of Modularity Optimization Methods for Graph Clustering. HPEC Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman
2018	J	`jnl`	A 2/3-Approximation Algorithm for Vertex-weighted Matching in Bipartite Graphs. CoRR Florin Dobrian, Mahantesh Halappanavar, Alex Pothen, Ahmed Al-Herz
2018	A	`conf`	Adaptive anonymization of data using b-edge cover. SC Arif Khan, Krzysztof Choromanski, Alex Pothen, S. M. Ferdous, Mahantesh Halappanavar, Antonino Tumeo
2018	A	`conf`	Distributed Louvain Algorithm for Graph Community Detection. IPDPS Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Hao Lu, Daniel G. Chavarría-Miranda, Arif Khan, Assefaw Hadish Gebremedhin
2018	J	`jnl`	Dynamic graphs, community detection, and Riemannian geometry. Appl. Netw. Sci. Craig Bakker, Mahantesh Halappanavar, Arun V. Sathanur
2018	—	`ch.`	Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks. Social Network Based Big Data Analysis and Applications Arun V. Sathanur, Mahantesh Halappanavar, Yi Shi, Yalin E. Sagduyu
2018	J	`jnl`	Guest Editorial: Advances in Parallel Graph Processing: Algorithms, Architectures, and Application Frameworks. IEEE Trans. Multi Scale Comput. Syst. Ananth Kalyanaraman, Mahantesh Halappanavar
2018	—	`conf`	Introduction to GraML 2018. IPDPS Workshops Antonino Tumeo, Mahantesh Halappanavar, John Feo, Assefaw Hadish Gebremedhin, Abhinav Vishnu
2018	—	`conf`	MiniVite: A Graph Analytics Benchmarking Tool for Massively Parallel Systems. PMBS@SC Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin
2018	C	`conf`	Optimizing Distributed Data-Intensive Workflows. CLUSTER Ryan D. Friese, Nathan R. Tallent, Malachi Schram, Mahantesh Halappanavar, Kevin J. Barker
2018	—	`conf`	Scalable Distributed Memory Community Detection Using Vite. HPEC Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin
2018	C	`conf`	Stochastic Programming Approach for Resource Selection Under Demand Uncertainty. JSSPP Tanveer Hossain Bhuiyan, Mahantesh Halappanavar, Ryan D. Friese, Hugh R. Medal, Luis de la Torre, Arun V. Sathanur, Nathan R. Tallent
2017	J	`jnl`	A generative graph model for electrical infrastructure networks. CoRR Sinan G. Aksoy, Emilie Purvine, Eduardo Cotilla Sanchez, Mahantesh Halappanavar
2017	J	`jnl`	AMPS: An Augmented Matrix Formulation for Principal Submatrix Updates with Application to Power Grids. CoRR Yu Hong Yeung, Alex Pothen, Mahantesh Halappanavar, Zhenyu Huang
2017	J	`jnl`	AMPS: An Augmented Matrix Formulation for Principal Submatrix Updates with Application to Power Grids. SIAM J. Sci. Comput. Yu Hong Yeung, Alex Pothen, Mahantesh Halappanavar, Zhenyu Huang
2017	J	`jnl`	Algorithms for Balanced Graph Colorings with Applications in Parallel Computing. IEEE Trans. Parallel Distributed Syst. Hao Lu, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Assefaw Hadish Gebremedhin, Ajay Panyala, Ananth Kalyanaraman
2017	Misc	`conf`	Approximate Computing Techniques for Iterative Graph Algorithms. HiPC Ajay Panyala, Omer Subasi, Mahantesh Halappanavar, Ananth Kalyanaraman, Daniel G. Chavarría-Miranda, Sriram Krishnamoorthy
2017	A	`conf`	Community Detection on the GPU. IPDPS Md. Naim, Fredrik Manne, Mahantesh Halappanavar, Antonino Tumeo
2017	J	`jnl`	Comparative study of clustering techniques for real-time dynamic model reduction. Stat. Anal. Data Min. Emilie Purvine, Eduardo Cotilla Sanchez, Mahantesh Halappanavar, Zhenyu Huang, Guang Lin, Shuai Lu, Shaobu Wang
2017	J	`jnl`	Exploring performance and energy tradeoffs for irregular applications: A case study on the Tilera many-core architecture. J. Parallel Distributed Comput. Ajay Panyala, Daniel G. Chavarría-Miranda, Joseph B. Manzano, Antonino Tumeo, Mahantesh Halappanavar
2017	J	`jnl`	Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks. CoRR Arun V. Sathanur, Mahantesh Halappanavar, Yi Shi, Yalin E. Sagduyu
2017	A	`conf`	FlipNet: Modeling Covert and Persistent Attacks on Networked Resources. ICDCS Sudip Saha, Anil Vullikanti, Mahantesh Halappanavar
2017	—	`conf`	Introduction to GraML Workshop. IPDPS Workshops Antonino Tumeo, Mahantesh Halappanavar, John Feo
2017	—	`conf`	Scalable static and dynamic community detection using Grappolo. HPEC Mahantesh Halappanavar, Hao Lu, Ananth Kalyanaraman, Antonino Tumeo
2017	—	`ed.`	Tenth International Conference on Contemporary Computing, IC3 2017, Noida, India, August 10-12, 2017 IC3 Srinivas Alum, Ananth Kalyanaraman, Bora Uçar, Kishore Kothapalli, Mahantesh Halappanavar, Kamesh Madduri, Madhu Govindaraju, Yinglong Xia, Sushil K. Prasad, Martina Barnas, Ashish Sureka, Pankesh Patel, Vikas Saxena, Sanjay Goel
2017	C	`conf`	Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties. JSSPP Ryan D. Friese, Mahantesh Halappanavar, Arun V. Sathanur, Malachi Schram, Darren J. Kerbyson, Luis de la Torre
2016	—	`conf`	Accelerating the mining of influential nodes in complex networks through community detection. Conf. Computing Frontiers Mahantesh Halappanavar, Arun V. Sathanur, Apurba K. Nandi
2016	A	`conf`	Designing scalable SC Arif M. Khan, Alex Pothen, Md. Mostofa Ali Patwary, Mahantesh Halappanavar, Nadathur Rajagopalan Satish, Narayanan Sundaram, Pradeep Dubey
2016	J	`jnl`	Efficient Approximation Algorithms for Weighted b-Matching. SIAM J. Sci. Comput. Arif M. Khan, Alex Pothen, Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Fredrik Manne, Mahantesh Halappanavar, Pradeep Dubey
2016	J	`jnl`	Fast Uncovering of Graph Communities on a Chip: Toward Scalable Community Detection on Multicore and Manycore Platforms. Found. Trends Electron. Des. Autom. Ananth Kalyanaraman, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Hao Lu, Karthi Duraisamy, Partha Pratim Pande
2016	—	`conf`	Formal Approach for Resilient Reachability based on End-System Route Agility. MTD@CCS Usman Rauf, Fida Gillani, Ehab Al-Shaer, Mahantesh Halappanavar, Samrat Chatterjee, Christopher S. Oehmen
2016	—	`conf`	Influence Maximization on Complex Networks with Intrinsic Nodal Activation. SocInfo (2) Arun V. Sathanur, Mahantesh Halappanavar
2016	—	`conf`	Modeling the Impact of Silicon Photonics on Graph Analytics. NAS Nathan R. Tallent, Kevin J. Barker, Daniel G. Chavarría-Miranda, Antonino Tumeo, Mahantesh Halappanavar, Andrés Márquez, Darren J. Kerbyson, Adolfy Hoisie
2016	—	`conf`	On Stable Marriages and Greedy Matchings. CSC Fredrik Manne, Md. Naim, Håkon Lerring, Mahantesh Halappanavar
2015	J	`jnl`	A Network-of-Networks Model for Electrical Infrastructure Networks. CoRR Mahantesh Halappanavar, Eduardo Cotilla Sanchez, Emilie Hogan, Daniel Duncan, Zhenyu (Henry) Huang, Paul D. H. Hines
2015	J	`jnl`	A new augmentation based algorithm for extracting maximal chordal subgraphs. J. Parallel Distributed Comput. Sanjukta Bhowmick, Tzu-Yi Chen, Mahantesh Halappanavar
2015	A	`conf`	Balanced Coloring for Parallel Computing Applications. IPDPS Hao Lu, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Assefaw Hadish Gebremedhin, Ananth Kalyanaraman
2015	J	`jnl`	Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures. Computer Mahantesh Halappanavar, Alex Pothen, Ariful Azad, Fredrik Manne, Johannes Langguth, Arif M. Khan
2015	J	`jnl`	Comparative Studies of Clustering Techniques for Real-Time Dynamic Model Reduction. CoRR Emilie Hogan, Eduardo Cotilla Sanchez, Mahantesh Halappanavar, Zhenyu Huang, Guang Lin, Shuai Lu, Shaobu Wang
2015	—	`conf`	On the Impact of Execution Models: A Case Study in Computational Chemistry. IPDPS Workshops Daniel G. Chavarría-Miranda, Mahantesh Halappanavar, Sriram Krishnamoorthy, Joseph B. Manzano, Abhinav Vishnu, Adolfy Hoisie
2015	Misc	`conf`	Optimizing Approximate Weighted Matching on Nvidia Kepler K40. HiPC Md. Naim, Fredrik Manne, Mahantesh Halappanavar, Antonino Tumeo, Johannes Langguth
2015	—	`conf`	Optimizing irregular applications for energy and performance on the Tilera many-core architecture. Conf. Computing Frontiers Daniel G. Chavarría-Miranda, Ajay Panyala, Mahantesh Halappanavar, Joseph B. Manzano, Antonino Tumeo
2015	J	`jnl`	Parallel heuristics for scalable community detection. Parallel Comput. Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman
2015	—	`conf`	Towards efficient scheduling of data intensive high energy physics workflows. WORKS@SC Mahantesh Halappanavar, Malachi Schram, Luis de la Torre, Kevin J. Barker, Nathan R. Tallent, Darren J. Kerbyson
2014	A	`conf`	New Effective Multithreaded Matching Algorithms. IPDPS Fredrik Manne, Mahantesh Halappanavar
2014	J	`jnl`	On parallel push-relabel based algorithms for bipartite maximum matching. Parallel Comput. Johannes Langguth, Ariful Azad, Mahantesh Halappanavar, Fredrik Manne
2014	—	`conf`	Parallel Heuristics for Scalable Community Detection. IPDPS Workshops Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman, Sutanay Choudhury
2014	J	`jnl`	Parallel Heuristics for Scalable Community Detection. CoRR Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman
2014	Misc	`conf`	Scaling graph community detection on the Tilera many-core architecture. HiPC Daniel G. Chavarría-Miranda, Mahantesh Halappanavar, Ananth Kalyanaraman
2013	C	`conf`	Graph analytics for signature discovery. ISI Emilie Hogan, John R. Johnson, Mahantesh Halappanavar, Chaomei Lo
2013	—	`conf`	Graph coarsening for path finding in cybersecurity graphs. CSIIRW Emilie Hogan, John R. Johnson, Mahantesh Halappanavar
2013	J	`jnl`	Multi-Fault Tolerance for Cartesian Data Distributions. Int. J. Parallel Program. Nawab Ali, Sriram Krishnamoorthy, Mahantesh Halappanavar, Jeff Daily
2013	J	`jnl`	Towards a Networks-of-Networks Framework for Cyber Security CoRR Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder
2013	C	`conf`	Towards a network-of-networks framework for cyber security. ISI Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder
2013	—	`conf`	Towards effective clustering techniques for the analysis of electric power grids. HiPCNA-PG@SC Emilie Hogan, Eduardo Cotilla Sanchez, Mahantesh Halappanavar, Shaobu Wang, Patrick Mackey, Paul Hines, Zhenyu Huang
2012	B	`conf`	A Novel Multithreaded Algorithm for Extracting Maximal Chordal Subgraphs. ICPP Mahantesh Halappanavar, John Feo, Kathryn Dempsey, Hesham H. Ali, Sanjukta Bhowmick
2012	A	`conf`	A multithreaded algorithm for network alignment via approximate matching. SC Arif M. Khan, David F. Gleich, Alex Pothen, Mahantesh Halappanavar
2012	J	`jnl`	Approximate weighted matching on emerging manycore and multithreaded architectures. Int. J. High Perform. Comput. Appl. Mahantesh Halappanavar, John Feo, Oreste Villa, Antonino Tumeo, Alex Pothen
2012	J	`jnl`	Feature Clustering for Accelerating Parallel Coordinate Descent CoRR Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar, David J. Haglin
2012	—	`conf`	Feature Clustering for Accelerating Parallel Coordinate Descent. NIPS Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar, David Haglin
2012	J	`jnl`	Graph Coloring Algorithms for Muti-core and Massively Multithreaded Architectures CoRR Ümit V. Çatalyürek, John Feo, Assefaw Hadish Gebremedhin, Mahantesh Halappanavar, Alex Pothen
2012	J	`jnl`	Graph coloring algorithms for multi-core and massively multithreaded architectures. Parallel Comput. Ümit V. Çatalyürek, John Feo, Assefaw Hadish Gebremedhin, Mahantesh Halappanavar, Alex Pothen
2012	A	`conf`	Multithreaded Algorithms for Maxmum Matching in Bipartite Graphs. IPDPS Ariful Azad, Mahantesh Halappanavar, Sivasankaran Rajamanickam, Erik G. Boman, Arif M. Khan, Alex Pothen
2012	A*	`conf`	Scaling Up Coordinate Descent Algorithms for Large ICML Chad Scherrer, Mahantesh Halappanavar, Ambuj Tewari, David Haglin
2012	—	`conf`	Towards Efficient N-x Contingency Selection Using Group betweenness Centrality. SC Companion Mahantesh Halappanavar, Yousu Chen, Robert Adolf, David Haglin, Zhenyu Huang, Mark Rice
2011	—	`conf`	Computing maximum matching in parallel on bipartite graphs: worth the effort? IA3@SC Ariful Azad, Mahantesh Halappanavar, Florin Dobrian, Alex Pothen
2011	—	`conf`	Distributed-Memory Parallel Algorithms for Matching and Coloring. IPDPS Workshops Ümit V. Çatalyürek, Florin Dobrian, Assefaw Hadish Gebremedhin, Mahantesh Halappanavar, Alex Pothen
2011	—	`conf`	Techniques for Improving Filters in Power Grid Contingency Analysis. MLDM Robert Adolf, David Haglin, Mahantesh Halappanavar, Yousu Chen, Zhenyu Huang
2011	—	`conf`	Tolerating correlated failures for generalized Cartesian distributions via bipartite matching. Conf. Computing Frontiers Nawab Ali, Sriram Krishnamoorthy, Mahantesh Halappanavar, Jeff Daily
2009	—	`—`	Algorithms for Vertex-Weighted Matching in Graphs. Mahantesh Halappanavar
2008	—	`conf`	A common application platform for the SURAgrid (CAP). Mardi Gras Conference Mahantesh Halappanavar, John-Paul Robinson, Enis Afgan, Mary Fran Yafchak, Purushotham V. Bangalore
2008	—	`conf`	Efficient Parallel Implementations of Binomial Tree Option Price Valuation. PDCCS Mahantesh Halappanavar, Amit Kumar, Ravi Mukkamala, Mohammad Zubair
2003	B	`conf`	ECPV: Efficient Certificate Path Validation in Public-key Infrastructure. DBSec Mahantesh Halappanavar, Ravi Mukkamala
2002	B	`conf`	Recertification: A Technique to Improve Services in PKI. DBSec Ravi Mukkamala, Satyam Das, Mahantesh Halappanavar
2002	—	`conf`	Security in Distributed Digital Libraries: Issues and Challenges . ICPP Workshops Somasekhar Vemulapalli, Mahantesh Halappanavar, Ravi Mukkamala