Tag: Graph Neural Networks

A Comprehensive Analysis of Graph Neural Networks for Complex Relationship Modeling: Principles, Architectures, Challenges, and Applications

Posted on by uplatzblog

1. Introduction to Graph Neural Networks 1.1. The Paradigm Shift to Relational Data The field of artificial intelligence has historically been dominated by models designed for Euclidean data, such as Read More …

Dynamic Graph Learning for Adaptive Fraud Detection: Architectures, Challenges, and Frontiers

Posted on by uplatzblog

Executive Summary The detection of financial fraud has undergone a paradigm shift, moving from the analysis of isolated transactions to the holistic examination of complex, interconnected networks. Traditional machine learning Read More …