BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

How does the journey to a knowledge graph start with unstructured data—such as text, images, and other media? The evolution of web search engines offers an instructive example, showing how ...

Model the local operator’s WDM network using graph theory tools. Apply Djikstra algorithm as the automatic traffic redirection solution. 1.4. Expected Results. The results expected at the end of this ...

BrowVis: Visualizing Large Graphs in the Browser Abstract: A recent stream of research focuses on building high-performance data analysis and management systems that run completely in the browser.

Network graphs can show how your customers are segmented and the risk of churn for each segment. You can discover that what you thought were three or four main segments are actually 10.

In this work, we propose WTAGRAPH, a web tracking and advertising detection framework based on Graph Neural Networks (GNNs). We first construct an attributed homogenous multi-graph (AHMG) that ...