All Stories

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