All Stories

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