All Stories

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