cuGraph Blogs and Presentations
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The RAPIDS team blogs at https://medium.com/rapids-ai, 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
====================
2025
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* `RAPIDS Adds GPU Polars Streaming, a Unified GNN API, and Zero-Code ML Speedups `_
* `Bring Receipts: New NVIDIA AI Blueprint Detects Fraudulent Credit Card Transactions With Precision `_
* `Using NetworkX, Jaccard Similarity, and cuGraph to Predict Your Next Favorite Movie `_
* `Get Started with GPU Acceleration for Data Science `_
* `ArangoDB Building the Next-Gen Agentic App with GraphRAG & NVIDIA cuGraph, Hackathon projects `_
2024
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* `NVIDIA cuGraph: 500x faster alternate for NetworkX for Graphs `_
* `Revolutionizing Graph Analytics: Next-Gen Architecture with NVIDIA cuGraph Acceleration `_
* `Accelerated, Production-Ready Graph Analytics for NetworkX Users `_
* `NetworkX Introduces Zero Code Change Acceleration Using NVIDIA cuGraph `_
* `NVIDIA cuGraph: Accelerate Graph Analytics with GPUs `_
* `Enhanced Data Analytics: Integrating NVIDIA Rapids cuGraph with TigerGraph `_
* `Insights, Techniques, and Evaluation for LLM-Driven Knowledge Graphs `_
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* `Intro to Graph Neural Networks with cuGraph-DGL `_
* `GTC 2023 Ask the Experts Q&A `_
* `Accelerating NetworkX on NVIDIA GPUs for High Performance Graph Analytics `_
* `Introduction to Graph Neural Networks with NVIDIA cuGraph-DGL `_
* `Supercharge Graph Analytics at Scale with GPU-CPU Fusion for 100x Performance `_
* `Introduction to Graph Analysis using cuGraph `_
2022
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* `GTC: State of cuGraph (video & slides) `_
* `GTC: Scaling and Validating Louvain in cuGraph against Massive Graphs (video & slides) `_
* `KDD Tutorial on Accelerated GNN Training with DGL/PyG and cuGraph `_
2021
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* `GTC 21 - State of RAPIDS cuGraph and what's comming next `_
2020
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* `Status of RAPIDS cuGraph — Refactoring Code And Rethinking Graphs `_
* `Tackling Large Graphs with RAPIDS cuGraph and CUDA Unified Memory on GPUs `_
* `RAPIDS cuGraph adds NetworkX and DiGraph Compatibility `_
* `Large Graph Visualization with RAPIDS cuGraph `_
* `GTC 20 Fall - cuGraph Goes Big `_
2019
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* `RAPIDS cuGraph `_
* `RAPIDS cuGraph — The vision and journey to version 1.0 and beyond `_
* `RAPIDS cuGraph : multi-GPU PageRank `_
* `Similarity in graphs: Jaccard versus the Overlap Coefficient `_
* `GTC19 Spring - Accelerating Graph Algorithms with RAPIDS `_
* `GTC19 Fall - Multi-Node Multi-GPU Machine Learning and Graph Analytics with RAPIDS `_
2018
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* `GTC18 Fall - RAPIDS: Benchmarking Graph Analytics on the DGX-2 `_
Media
===============
* `NetworkX GPU Acceleration with cuGraph in Python `
* `NVIDIA RAPIDS cuGraph : GPU acceleration for NetworkX, Graph Analytics `
* `Accelerating Graph Analysis on GPUs `
* `Nvidia Rapids cuGraph: Making graph analysis ubiquitous `_
* `RAPIDS cuGraph – Accelerating all your Graph needs `_
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
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* `4 graph algorithms on steroids for data scientists with cugraph `_
* `Where should I walk `_
* `Where really are the parking spots? `_
* `Accelerating Single Cell Genomic Analysis using RAPIDS `_
* `Running Large-Scale Graph Analytics with Memgraph and NVIDIA cuGraph Algorithms `_
* `Dev Blog Repost: Similarity in Graphs: Jaccard Versus the Overlap Coefficient `_
RAPIDS Event Notebooks
======================
* `KDD 2022 Notebook that demonstates using cuDF for ETL/data cleaning and XGBoost for training a fraud predection model. `_
* `SciPy 22 Notebook comparing cuGraph to NetworkX `_
* `KDD 2020 Tutorial Notebooks - Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS `_