Graph Neural Networks 101: Your Tabular Model Cannot See That Two Customers Share a Supplier
中文摘要
本文介绍图神经网络(GNN)基础，探讨其在捕捉关联数据方面优于传统表格模型的优势，并涵盖从简单实现到性能基准的讨论。
English Summary
This article introduces Graph Neural Networks (GNNs), explaining how they capture relational data that tabular models miss, from basic implementation to real-world benchmarks.
Original Excerpt
Graph neural networks, from a ten-line numpy function to a real benchmark, and the one number that tells you in advance whether they will… Continue reading on Data And Beyond »