Post #261

Graph Machine Learning Books For a long time I was thinking that the community lacks proper books on graph machine learning and even thought maybe I should write one. But luckily there are other active people. With the difference of one day 2 (!) books were announced. Graph Representation Learning Book by Will Hamilton, which so far has 3 main chapters on node embeddings, GNNs, and generative models. While the drafts are ready, there is still a long way to make it comprehensive book and the author promises to work on that. Great start. Deep Learning on Graphs by Yao Ma and Jiliang Tang. This should be available next month and should focus on foundations of GNNs as well as applications. That's great, hopefully they will become handbooks for those who want to start in this area. Now waiting the same but for educational courses 🙏