Mahantesh Halappanavar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
50
Venues
24
Active years
2002–2026
Best venue rank
A*
Where they publish
- ASC13 papers
- NationalHiPC5 papers
- AICS4 papers
- CJSSPP3 papers
- AWSDM2 papers
- A*AAAI2 papers
- CCLUSTER2 papers
- CISI2 papers
- BDBSEC2 papers
- A*ICDM1 paper
- A*KDD1 paper
- AWACV1 paper
- AESA1 paper
- CSBAC-PAD1 paper
- ADATE1 paper
- MulticonferenceICCS1 paper
- CICMLA1 paper
- CPDP1 paper
- A*IJCAI1 paper
- BDSAA1 paper
- AICDCS1 paper
- A*CCS1 paper
- A*ICML1 paper
- BICPP1 paper
Papers
50 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICS | DynLP: Parallel Dynamic Batch Update for Label Propagation in Graph-based Semi-Supervised Learning. | S. M. Shovan, Arindam Khanda, S. M. Ferdous, Sajal K. Das, Mahantesh Halappanavar |
| 2026 | WSDM | Rule Mining and Learning for Structured Knowledge Retrieval. | Yongjia Lei, Mahantesh Halappanavar, Yu Wang |
| 2026 | WSDM | Knowledge Homophily in Large Language Models. | Utkarsh Sahu, Zhisheng Qi, Mahantesh Halappanavar, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Yu Zhang, Yao Ma, Yu Wang |
| 2025 | ICDM | ATT&CK to CVE: A Large-Scale Automated Knowledge Graph for Threat Intelligence. | 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-Fernndez, Mahantesh Halappanavar |
| 2025 | ICS | DIMPLES: Distributed Influence Maximization for Pandemic pLanning on Exascale Systems. | 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 | KDD | Machine Learning on Graphs in the Era of Generative Artificial Intelligence. | Yu Wang, Yu Zhang, Zhichun Guo, Harry Shomer, Haoyu Han, Tyler Derr, Nesreen K. Ahmed, Mahantesh Halappanavar, Jiliang Tang |
| 2025 | WACV | Disharmony: Forensics Using Reverse Lighting Harmonization. | Philip Wootaek Shin, Jack Sampson, Vijaykrishnan Narayanan, Andres Marquez, Mahantesh Halappanavar |
| 2024 | AAAI | Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach. | Yu Wang, Yuxuan Yin, Karthik Somayaji N. S., Jn Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li |
| 2024 | ESA | Semi-Streaming Algorithms for Weighted k-Disjoint Matchings. | S. M. Ferdous, Bhargav Samineni, Alex Pothen, Mahantesh Halappanavar, Bala Krishnamoorthy |
| 2024 | ICS | FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems. | Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi |
| 2024 | SC | Efficient Weighted Graph Matching on GPUs. | Michael Mandulak, Sayan Ghosh, S. M. Ferdous, Mahantesh Halappanavar, George M. Slota |
| 2024 | SBAC-PAD | A Performance and Energy Study of GPU-Resident Preconditioners for Conjugate Gradient Solvers: In the Context of Existing and Novel Approaches. | Kasia Swirydowicz, Jesun Firoz, Joseph B. Manzano, Mahantesh Halappanavar, Stephen Thomas, Kevin J. Barker |
| 2023 | DATE | FPGA Acceleration of GCN in Light of the Symmetry of Graph Adjacency Matrix. | Gopikrishnan Raveendran Nair, Han-Sok Suh, Mahantesh Halappanavar, Frank Liu, Jae-sun Seo, Yu Cao |
| 2023 | ICCS | Structural Validation of Synthetic Power Distribution Networks Using the Multiscale Flat Norm. | Rounak Meyur, Kostiantyn Lyman, Bala Krishnamoorthy, Mahantesh Halappanavar |
| 2023 | ICMLA | Accelerating Scientific Simulations with Bi-Fidelity Weighted Transfer Learning. | Katarzyna Borowiec, Dan Lu, Vikas Chandan, Samrat Chatterjee, Pradeep Ramuhalli, Ramakrishna Tipireddy, Mahantesh Halappanavar, Frank Liu |
| 2023 | JSSPP | Scaling Optimal Allocation of Cloud Resources Using Lagrange Relaxation. | Luis de la Torre, Mahantesh Halappanavar |
| 2023 | PDP | AMG Preconditioners based on Parallel Hybrid Coarsening and Multi-objective Graph Matching. | Pasqua D'Ambra, Fabio Durastante, S. M. Ferdous, Salvatore Filippone, Mahantesh Halappanavar, Alex Pothen |
| 2023 | SC | cuAlign: Scalable Network Alignment on GPU Accelerators. | Lizhi Xiang, Arif M. Khan, S. M. Ferdous, Aravind Sukumaran-Rajam, Mahantesh Halappanavar |
| 2022 | AAAI | Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification. | Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao |
| 2022 | HiPC | IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization. | Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman |
| 2022 | IJCAI | Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method. | Prathyush Sambaturu, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Anil Vullikanti |
| 2021 | DSAA | V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities. | Siddhartha Shankar Das, Edoardo Serra, Mahantesh Halappanavar, Alex Pothen, Ehab Al-Shaer |
| 2021 | SC | Single-node partitioned-memory for huge graph analytics: cost and performance trade-offs. | Sayan Ghosh, Nathan R. Tallent, Marco Minutoli, Mahantesh Halappanavar, Ramesh Peri, Ananth Kalyanaraman |
| 2021 | SC | cuTS: scaling subgraph isomorphism on distributed multi-GPU systems using trie based data structure. | Lizhi Xiang, Arif Khan, Edoardo Serra, Mahantesh Halappanavar, Aravind Sukumaran-Rajam |
| 2020 | ICS | cuRipples: influence maximization on multi-GPU systems. | Marco Minutoli, Maurizio Drocco, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman |
| 2020 | SC | Preempt: scalable epidemic interventions using submodular optimization on multi-GPU systems. | Marco Minutoli, Prathyush Sambaturu, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Anil Vullikanti |
| 2019 | CLUSTER | Fast and Scalable Implementations of Influence Maximization Algorithms. | Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Arun V. Sathanur, Ryan S. McClure, Jason E. McDermott |
| 2019 | HiPC | Mapping Arbitrarily Sparse Two-Body Interactions on One-Dimensional Quantum Circuits. | Arif M. Khan, Mahantesh Halappanavar, Tobias Hagge, Karol Kowalski, Alex Pothen, Sriram Krishnamoorthy |
| 2018 | CLUSTER | Optimizing Distributed Data-Intensive Workflows. | Ryan D. Friese, Nathan R. Tallent, Malachi Schram, Mahantesh Halappanavar, Kevin J. Barker |
| 2018 | JSSPP | Stochastic Programming Approach for Resource Selection Under Demand Uncertainty. | Tanveer Hossain Bhuiyan, Mahantesh Halappanavar, Ryan D. Friese, Hugh R. Medal, Luis de la Torre, Arun V. Sathanur, Nathan R. Tallent |
| 2018 | SC | MiniVite: A Graph Analytics Benchmarking Tool for Massively Parallel Systems. | Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin |
| 2018 | SC | Adaptive anonymization of data using b-edge cover. | Arif Khan, Krzysztof Choromanski, Alex Pothen, S. M. Ferdous, Mahantesh Halappanavar, Antonino Tumeo |
| 2017 | HiPC | Approximate Computing Techniques for Iterative Graph Algorithms. | Ajay Panyala, Omer Subasi, Mahantesh Halappanavar, Ananth Kalyanaraman, Daniel G. Chavarra-Miranda, Sriram Krishnamoorthy |
| 2017 | ICDCS | FlipNet: Modeling Covert and Persistent Attacks on Networked Resources. | Sudip Saha, Anil Vullikanti, Mahantesh Halappanavar |
| 2017 | JSSPP | Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties. | Ryan D. Friese, Mahantesh Halappanavar, Arun V. Sathanur, Malachi Schram, Darren J. Kerbyson, Luis de la Torre |
| 2016 | CCS | Formal Approach for Resilient Reachability based on End-System Route Agility. | Usman Rauf, Fida Gillani, Ehab Al-Shaer, Mahantesh Halappanavar, Samrat Chatterjee, Christopher S. Oehmen |
| 2016 | SC | Designing scalable | Arif M. Khan, Alex Pothen, Md. Mostofa Ali Patwary, Mahantesh Halappanavar, Nadathur Rajagopalan Satish, Narayanan Sundaram, Pradeep Dubey |
| 2015 | HiPC | Optimizing Approximate Weighted Matching on Nvidia Kepler K40. | Md. Naim, Fredrik Manne, Mahantesh Halappanavar, Antonino Tumeo, Johannes Langguth |
| 2015 | SC | Towards efficient scheduling of data intensive high energy physics workflows. | Mahantesh Halappanavar, Malachi Schram, Luis de la Torre, Kevin J. Barker, Nathan R. Tallent, Darren J. Kerbyson |
| 2014 | HiPC | Scaling graph community detection on the Tilera many-core architecture. | Daniel G. Chavarra-Miranda, Mahantesh Halappanavar, Ananth Kalyanaraman |
| 2013 | ISI | Towards a network-of-networks framework for cyber security. | Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder |
| 2013 | ISI | Graph analytics for signature discovery. | Emilie Hogan, John R. Johnson, Mahantesh Halappanavar, Chaomei Lo |
| 2013 | SC | Towards effective clustering techniques for the analysis of electric power grids. | Emilie Hogan, Eduardo Cotilla Sanchez, Mahantesh Halappanavar, Shaobu Wang, Patrick Mackey, Paul Hines, Zhenyu Huang |
| 2012 | ICML | Scaling Up Coordinate Descent Algorithms for Large | Chad Scherrer, Mahantesh Halappanavar, Ambuj Tewari, David Haglin |
| 2012 | ICPP | A Novel Multithreaded Algorithm for Extracting Maximal Chordal Subgraphs. | Mahantesh Halappanavar, John Feo, Kathryn Dempsey, Hesham H. Ali, Sanjukta Bhowmick |
| 2012 | SC | Towards Efficient N-x Contingency Selection Using Group betweenness Centrality. | Mahantesh Halappanavar, Yousu Chen, Robert Adolf, David Haglin, Zhenyu Huang, Mark Rice |
| 2012 | SC | A multithreaded algorithm for network alignment via approximate matching. | Arif M. Khan, David F. Gleich, Alex Pothen, Mahantesh Halappanavar |
| 2011 | SC | Computing maximum matching in parallel on bipartite graphs: worth the effort? | Ariful Azad, Mahantesh Halappanavar, Florin Dobrian, Alex Pothen |
| 2003 | DBSEC | ECPV: Efficient Certificate Path Validation in Public-key Infrastructure. | Mahantesh Halappanavar, Ravi Mukkamala |
| 2002 | DBSEC | Recertification: A Technique to Improve Services in PKI. | Ravi Mukkamala, Satyam Das, Mahantesh Halappanavar |