# Graph Analytics

May 09, 2024

### Revolutionizing Graph Analytics: Next-Gen Architecture with NVIDIA cuGraph Acceleration

In our previous exploration of graph analytics, we uncovered the transformative power of GPU-CPU fusion using NVIDIA cuGraph. Building upon those insights, we...

9 MIN READ

Apr 03, 2024

### Optimizing Memory and Retrieval for Graph Neural Networks with WholeGraph, Part 2

Large-scale graph neural network (GNN) training presents formidable challenges, particularly concerning the scale and complexity of graph data. These challenges...

5 MIN READ

Mar 08, 2024

### Optimizing Memory and Retrieval for Graph Neural Networks with WholeGraph, Part 1

Graph neural networks (GNNs) have revolutionized machine learning for graph-structured data. Unlike traditional neural networks, GNNs are good at capturing...

9 MIN READ

Nov 08, 2023

### Accelerating NetworkX on NVIDIA GPUs for High Performance Graph Analytics

NetworkX states in its documentation that it is “…a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of...

12 MIN READ

Apr 06, 2023

### Ask Me Anything: Experts Answer Your NVIDIA cuGraph Questions Live

Join us April 12 and ask experts about NVIDIA cuGraph with added support for GNN, accelerated aggregators, models, and extensions to DGL and PyG.

1 MIN READ

Aug 17, 2022

### Using Network Graphs to Visualize Potential Fraud on Ethereum Blockchain

Beyond the unimaginable prices for monkey pictures, NFT's underlying technology provides companies with a new avenue to directly monetize their online...

9 MIN READ

Aug 16, 2022

### Running Large-Scale Graph Analytics with Memgraph and NVIDIA cuGraph Algorithms

With the latest Memgraph Advanced Graph Extensions (MAGE) release, you can now run GPU-powered graph analytics from Memgraph in seconds, while working in...

9 MIN READ

Apr 23, 2021

### Similarity in Graphs: Jaccard Versus the Overlap Coefficient

There is a wide range of graph applications and algorithms that I hope to discuss through this series of blog posts, all with a bias toward what is in RAPIDS...

12 MIN READ

Sep 26, 2016

### The Intersection of Large-Scale Graph Analytics and Deep Learning

Figure 1: An example graph in which entities are represented by nodes and relationships are...

14 MIN READ

May 12, 2016

### Fast Spectral Graph Partitioning on GPUs

Graphs are mathematical structures used to model many types of relationships and processes in physical, biological, social and information systems. They are...

15 MIN READ

Apr 05, 2016

### CUDA 8 Features Revealed

Today I'm excited to announce the general availability of CUDA 8, the latest update to NVIDIA's powerful parallel computing platform and programming model. In...

19 MIN READ

Mar 21, 2016

### What to Do with All That Bandwidth? GPUs for Graph and Predictive Analytics

Figure 1: Graph algorithms exhibit non-locality and data-dependent parallelism. Large graphs, such...

14 MIN READ