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

A new research paper from AMD explains how procedurally generating certain 3D objects in real-time-rendered scenes, like ...

Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

Critical node detection investigates the identification of influential nodes whose removal, either accidental or deliberate, significantly diminishes network connectivity and overall performance.

Time GPU Tree Generation' shifts the procedural creation and rendering of trees in a 3D environment to the GPU with ...

Professors Amir Ali Ahmadi and Pravesh Kothari are pioneering the use of artificial intelligence to enhance complex ...

Financial-services teams sit on oceans of prices, identifiers, and transaction attributes, yet the data that keeps their ...

Load a graph as a network of instructions; Load a given data environment (could be empty) Sets the current_node to the first node in the instruction graph visit all "get" edges and revieve data from ...

I’ve been a diehard Proxmox fanboy for a long time, and have used the platform for everything from makeshift Hackintosh VMs ...

Abstract: Attribute graph embedding algorithms based on graph neural networks aggregate information about the neighborhood of a target node to update the embedding of the target node, i.e.

Conventional force directed graph drawing methods aimto produce aesthetically pleasing visualization of graphs.The edges of the graph have more or less equal length,and there are as few crossing edges ...