All Stories

  1. SGS-GNN: A Supervised Graph Sparsifier for Graph Neural Networks

    Article • August 2026, ACM (Association for Computing Machinery)

    Mahantesh Halappanavar

  2. Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation (RAG)

    Article • August 2026, ACM (Association for Computing Machinery)

    Mahantesh Halappanavar

  3. Rule Mining and Learning for Structured Knowledge Retrieval

    Article • February 2026, ACM (Association for Computing Machinery)

    Mahantesh Halappanavar

  4. Denoising Diffusion Probabilistic Models for Coastal Inundation Forecasting

    Article • November 2025, ACM (Association for Computing Machinery)

    Zakaria Mehrab, Mahantesh Halappanavar

  5. Machine Learning on Graphs in the Era of Generative Artificial Intelligence

    Article • August 2025, ACM (Association for Computing Machinery)

    Mahantesh Halappanavar

  6. ScaWL: Scaling k-WL (Weisfeiler-Leman) Algorithms

    Article • ACM Transactions on Architecture and Code Optimization, March 2025, ACM (Association for Computing Machinery)

    Mahantesh Halappanavar, Coby Soss, Assefaw Gebremedhin

  7. Efficient Weighted Graph Matching on GPUs

    Article • November 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Sayan Ghosh, Mahantesh Halappanavar

  8. AGS-GNN: Attribute-guided Sampling for Graph Neural Networks

    Article • August 2024, ACM (Association for Computing Machinery)

    Mahantesh Halappanavar

  9. FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems

    Article • May 2024, ACM (Association for Computing Machinery)

    Mahantesh Halappanavar, Antonino Tumeo

  10. cuAlign: Scalable Network Alignment on GPU Accelerators

    Article • November 2023, ACM (Association for Computing Machinery)

    lizhi xiang, Mahantesh Halappanavar

  11. Direction-optimizing Label Propagation Framework for Structure Detection in Graphs: Design, Implementation, and Experimental Analysis

    Article • ACM Journal of Experimental Algorithmics, December 2022, ACM (Association for Computing Machinery)

    Mahantesh Halappanavar, Assefaw Gebremedhin

  12. HBMax

    Article • October 2022, ACM (Association for Computing Machinery)

    Mahantesh Halappanavar

  13. cuTS

    Article • November 2021, ACM (Association for Computing Machinery)

    Mahantesh Halappanavar, lizhi xiang

  14. Single-node partitioned-memory for huge graph analytics

    Article • November 2021, ACM (Association for Computing Machinery)

    Mahantesh Halappanavar, Sayan Ghosh, Nathan Tallent

  15. Graph analytics in the exascale era

    Article • May 2021, ACM (Association for Computing Machinery)

    Mahantesh Halappanavar, Sayan Ghosh

  16. cuRipples

    Article • June 2020, ACM (Association for Computing Machinery)

    Mahantesh Halappanavar, Antonino Tumeo

  17. Direction-optimizing label propagation and its application to community detection

    Article • May 2020, ACM (Association for Computing Machinery)

    Mahantesh Halappanavar, Assefaw Gebremedhin

  18. Accelerating the mining of influential nodes in complex networks through community detection

    Article • May 2016, ACM (Association for Computing Machinery)

    Mahantesh Halappanavar

  19. Optimizing irregular applications for energy and performance on the Tilera many-core architecture

    Article • May 2015, ACM (Association for Computing Machinery)

    Mahantesh Halappanavar, Antonino Tumeo