cuGraph Blogs and Presentations#

The RAPIDS team blogs at, and many of these blog posts provide deeper dives into features from cuGraph. Here, we’ve selected just a few that are of particular interest to cuGraph users:

Blogs & Conferences#


Coming Soon








Academic Papers#

  • Seunghwa Kang, Chuck Hastings, Joe Eaton, Brad Rees cuGraph C++ primitives: vertex/edge-centric building blocks for parallel graph computing

  • Alex Fender, Brad Rees, Joe Eaton (2022) Massive Graph Analytics Bader, D. (Editor) CRC Press

  • S Kang, A. Fender, J. Eaton, B. Rees:Computing PageRank Scores of Web Crawl Data Using DGX A100 Clusters. In IEEE HPEC, Sep. 2020

  • Hricik, T., Bader, D., & Green, O. (2020, September). Using RAPIDS AI to accelerate graph data science workflows. In 2020 IEEE High Performance Extreme Computing Conference (HPEC) (pp. 1-4). IEEE.

  • Richardson, B., Rees, B., Drabas, T., Oldridge, E., Bader, D. A., & Allen, R. (2020, August). Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 3503-3504).

  • A Gondhalekar, P Sathre, W Feng Hybrid CPU-GPU Implementation of Edge-Connected Jaccard Similarity in Graph Datasets

Other Blogs#

RAPIDS Event Notebooks#