内容简介
书名：Graph-Powered Machine Learning出版社：Manning Publications
作者：Alessandro Negro
出版年份：2021
电子书格式： pdf
简介：Dive into the world of Graph-Powered Machine Learning with Alessandro Negro’s comprehensive guide. This book expertly details how to leverage the power of graph databases and graph neural networks for advanced machine learning tasks. Learn to represent data as graphs, explore graph algorithms, and build powerful machine learning models using frameworks like PyTorch Geometric. Ideal for data scientists, machine learning engineers, and anyone seeking to enhance their ML skills with graph technologies. Master graph representation learning, node classification, link prediction, and more. Unlock the potential of graph data for improved accuracy and efficiency in your machine learning projects.
ISBN：9781617295645, 16172
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