All Stories

  1. Denoising Diffusion Probabilistic Models for Coastal Inundation Forecasting
  2. Machine Learning on Graphs in the Era of Generative Artificial Intelligence
  3. ScaWL: Scaling k-WL (Weisfeiler-Leman) Algorithms
  4. Efficient Weighted Graph Matching on GPUs
  5. AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
  6. FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems
  7. cuAlign: Scalable Network Alignment on GPU Accelerators
  8. Direction-optimizing Label Propagation Framework for Structure Detection in Graphs: Design, Implementation, and Experimental Analysis
  9. HBMax
  10. cuTS
  11. Single-node partitioned-memory for huge graph analytics
  12. Graph analytics in the exascale era
  13. cuRipples
  14. Direction-optimizing label propagation and its application to community detection
  15. Accelerating the mining of influential nodes in complex networks through community detection
  16. Optimizing irregular applications for energy and performance on the Tilera many-core architecture