Graph analysis AI model achieves training up to 95 times faster on a single GPU

Alongside text-based large language models (LLMs), including ChatGPT in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial transactions, stocks, social media, and patient records in graph form are widely used. However, there is a limitation, in that full graph learning—training the entire graph at once—requires massive memory and GPU servers.

This post was originally published on this site