Cutting-Edge Review: Multimodal Graph Learning for Complex System Modeling

Cutting-Edge Review: Multimodal Graph Learning for Complex System Modeling

Introduction Graph Learning is a machine learning method that studies and applies graph-structured data. In graph learning, data is represented as a graph consisting of nodes and edges, where nodes represent entities or objects, and edges represent the relationships or connections between them. Therefore, graph learning is particularly suitable for multi-scale analysis, modeling, and simulation … Read more

The Evolution of Pre-trained Large Models from BERT to ChatGPT

The Evolution of Pre-trained Large Models from BERT to ChatGPT

Report by Machine Heart Editor: Zhang Qian This nearly one hundred page review outlines the evolution of pre-trained foundation models, showing us how ChatGPT has gradually achieved success. All successes have a traceable path, and ChatGPT is no exception. Recently, Turing Award winner Yann LeCun was trending due to his overly harsh evaluation of ChatGPT. … Read more