Over the last few weeks I've had a lot of conversations with research groups wanting to learn more about machine learning on graphs. I've put together an article to hopefully help give initial points to people wanting to dip into graph ML, but not sure where to start.
Let me know any feedback and if there are things you'd like to see added 🙂
