圖形機器學習入門：Hugging Face 的 Graph ML 基礎指南

This blog post published by Hugging Face provides readers with a systematic introduction to the rapidly evolving field of Graph Machine Learning (Graph ML). Traditional machine learning and deep learning primarily deal with structured (e.g., tabular) or grid-like (e.g., image, text) data. However, much of the important data in the real world — such as social networks, molecular structures, academic citation networks, and user-item relationships in recommendation systems — is inherently represented as graphs.