- 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
- 下载地址（点击下载）：
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