Graph-Powered Machine Learning is a book written by Dr. Alessandro Negro that explores the intersection of graphs and machine learning. Dr. Negro, a long-time member of the graph community, specializes in natural language processing, recommendation engines, and graph-aided search at GraphAware. He wrote the book to organize his ideas on this topic and provide a resource for newcomers to learn how to deal with complex tasks related to graphs and machine learning. The role of graphs in machine learning is changing rapidly, with graphs now being used for more advanced services and tasks. Dr. Negro expects that people will increasingly use graphs to solve their machine learning problems in the future. He has received positive early feedback on his book, which he hopes readers will not just read but also use as a practical resource. The book provides concrete use cases, datasets, and ideas that can be applied to real-world problems.