Graph Basics for Machine Learning: From Adjacency Matrix to Graph Laplacian
中文摘要
介绍机器学习图基础，涵盖邻接矩阵与图拉普拉斯算子，解释图如何有效建模复杂关系。
English Summary
This guide explores machine learning graph basics, covering adjacency matrices and Laplacians to model complex relationships that go beyond standard vector representations.
原文节选
If vectors are the language of many machine learning models, graphs are the language of relationships. Continue reading on Medium »