Message Passing in Graph Neural Networks: The Mathematics Behind Graph Representation Learning
中文摘要
本文深入探讨了图神经网络中消息传递的数学原理，解释了其如何实现图表示学习，并结合 GCN 与 GATv2 进行分析。
English Summary
This article explores the mathematics of message passing in Graph Neural Networks, explaining its role in graph representation learning through models like GCN and GATv2.
Original Excerpt
In my previous article, “The Evolution of Graph Neural Networks: From GCN to GATv2”, we looked at how Graph Neural Networks evolved from… Continue reading on Medium »