Towards AI Can Help your Team Adopt AI: Corporate Training, Consulting, and Talent Solutions.


When GraphSAGE Meets Pinterest
Latest   Machine Learning

When GraphSAGE Meets Pinterest

Last Updated on July 20, 2023 by Editorial Team

Author(s): Edward Ma

Originally published on Towards AI.

Photo by Pinterest

In the previous stories, we introduced Introduction to Graph Embeddings, Random Walk in Node Embeddings, and 4 Graph Neural Networks. I would like to further extend to PingSAGE. It was proposed by Ying et al. in 2018. Ying is one of the authors of GraphSAGE (Hamilton et al., 2018). He and his team apply a modified version of GraphSAGE (Hamilton et al., 2018)in the Pinterest dataset.

We will use the following undirected graph to go though PinSAGE (Ying et al., 2018) algorithm. First of all, we have an input graph with Node A, B, C, D, E, and F…. Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI

Feedback ↓