Introduction to Graph Machine Learning

https://huggingface.co/blog/intro-graphml

In this blog post, we cover the basics of graph machine learning.
We first study what graphs are, why they are used, and how best to represent them. We then cover briefly how people learn on graphs, from pre-neural methods (exploring graph features at the same time) to what are commonly called Graph Neural Networks. Lastly, we peek into the world of Transformers for graphs.
#graphml

#introduction

Hi Mastodon :mastodon: ! This is Jiaqi Ma. I'm currently a postdoc at #Harvard Business School. I'm also an incoming assistant professor in the School of Information Sciences at #UIUC.

My research interests include trustworthy machine learning, graph machine learning, and recommender systems. Recently, I'm also dipping into explainable ML and NLP.

More of me can be found at https://www.jiaqima.com

#machinelearning #trustworthyML #graphML #recsys #XAI