Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis.
This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs--a nascent but quickly growing subset of graph representation learning.
1 有用 咏而归 2021-04-05 14:17:47
我一般不在豆瓣标专业书,但是这本真的是看完后悔为什么没从这儿入门。
1 有用 DaNieLsEn 2021-07-23 18:05:09
蜻蜓点水综述式书
0 有用 霸王龙吃土豆 2022-11-03 12:07:29 上海
这本小册子不如斯坦福的cs224w课程来的细致,总体还行。
0 有用 Unknown 2022-06-14 18:08:43
有趣,但对我来说没有用,我还是naive了
0 有用 虫放 2022-08-18 16:25:47
综述集
0 有用 天瑜 2022-11-30 17:56:57 中国香港
"The field has transformed from a small subset of researchers working on a relatively niche topic to one of the fastest-growing sub-areas of deep learning." 被前言的叙事感动到了。
0 有用 霸王龙吃土豆 2022-11-03 12:07:29 上海
这本小册子不如斯坦福的cs224w课程来的细致,总体还行。
0 有用 虫放 2022-08-18 16:25:47
综述集
0 有用 Unknown 2022-06-14 18:08:43
有趣,但对我来说没有用,我还是naive了
0 有用 章鱼喵是差分机 2022-02-12 18:40:18
更新:终于读完了,挺不错的。 --- 在读:可以可以,比较 noob friendly