Halappanavar, Mahantesh

1. Retrieval-Augmented Generation with Graphs (GraphRAG)
   2024/12/31 by Haoyu Han, Yu Wang, Han, Haoyu +32 · 40 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · #Machine Learning and Algorithms #DNA and Biological Computing
2. Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications
   2022/06/16 by Sai Munikoti, Deepesh Agarwal, Munikoti, Sai +7 · 6 citations
   Engineering · #Green IT and Sustainability #Advanced Memory and Neural Computing #Advanced Sensor and Energy Harvesting Materials
3. V2W-BERT: A Framework for Effective Hierarchical Multiclass\n Classification of Software Vulnerabilities
   2021/02/23 by Siddhartha Shankar Das, Edoardo Serra, Das, Siddhartha Shankar +7 · 3 citations
   Computer Science · #Software Engineering Research #Software Reliability and Analysis Research #Web Application Security Vulnerabilities
4. Graph Coloring Algorithms for Muti-core and Massively Multithreaded Architectures
   2012/05/16 by Catalyurek, Umit, Feo, John, Gebremedhin, Assefaw +2 · 1 citation
   #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
5. A Network-of-Networks Model for Electrical Infrastructure Networks
   2015/11/26 by Halappanavar, Mahantesh, Cotilla-Sanchez, Eduardo, Hogan, Emilie +4 · 1 citation
   #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
6. Deep Reinforcement Learning for Cyber System Defense under Dynamic Adversarial Uncertainties
   2023/02/03 by Dutta, Ashutosh, Chatterjee, Samrat, Bhattacharya, Arnab +1 · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
7. Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification
   2021/12/18 by Sun, Jingbo, Yang, Li, Zhang, Jiaxin +4 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. On the Stochastic Stability of Deep Markov Models
   2021/11/08 by Drgoňa, Ján, Mukherjee, Sayak, Zhang, Jiaxin +2 · 1 citation
   #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering
9. Scaling Up Coordinate Descent Algorithms for Large \ℓ₁\n Regularization Problems
   2012/06/27 by Mahantesh Halappanavar, Scherrer, Chad, Ambuj Tewari +4 · 1 citation
   Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Advanced Image and Video Retrieval Techniques
10. Perspectives on AI Architectures and Co-design for Earth System Predictability
    2023/04/07 by Maruti Kumar Mudunuru, Mudunuru, Maruti K., James Ang +19 · 1 citation
    Computer Science · Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management #Seismology and Earthquake Studies #Statistics and Probability (physics.data-an) #Traffic Prediction and Management Techniques
11. Learning to Simulate Aerosol Dynamics with Graph Neural Networks
    2024/09/20 by Fabiana Ferracina, Ferracina, Fabiana, Payton Beeler +9 · 1 citation
    Environmental Science · #Air Quality Monitoring and Forecasting #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
12. Semi-Streaming Algorithms for Weighted k-Disjoint Matchings
    2023/11/03 by Ferdous, S M, Samineni, Bhargav, Pothen, Alex +2 · 1 citation
    #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences