All Stories

  1. Rule Mining and Learning for Structured Knowledge Retrieval

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

    Mahantesh Halappanavar

  2. Denoising Diffusion Probabilistic Models for Coastal Inundation Forecasting

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

    Zakaria Mehrab, Mahantesh Halappanavar

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

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

    Mahantesh Halappanavar

  4. 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

  5. Efficient Weighted Graph Matching on GPUs

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

    Sayan Ghosh, Mahantesh Halappanavar

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

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

    Mahantesh Halappanavar

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

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

    Mahantesh Halappanavar, Antonino Tumeo

  8. cuAlign: Scalable Network Alignment on GPU Accelerators

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

    lizhi xiang, Mahantesh Halappanavar

  9. 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

  10. HBMax

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

    Mahantesh Halappanavar

  11. cuTS

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

    Mahantesh Halappanavar, lizhi xiang

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

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

    Mahantesh Halappanavar, Sayan Ghosh, Nathan Tallent

  13. Graph analytics in the exascale era

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

    Mahantesh Halappanavar, Sayan Ghosh

  14. cuRipples

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

    Mahantesh Halappanavar, Antonino Tumeo

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

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

    Mahantesh Halappanavar, Assefaw Gebremedhin

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

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

    Mahantesh Halappanavar

  17. 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