GGNN和GCN的几篇论文笔记，介绍常用的两种图神经网络。个人笔记。

by Maarten van Steen (Author) ============================= This book aims to explain the basics of graph theory that are needed at an introductory level for students in computer or information sciences. To motivate students and to show that even these basic notions can be extremely useful, the book also aims to provide an introduction to the modern field of network science. Mathematics is often unnecessarily difficult for students, at times even intimidating. For this reason, explicit attention is paid in the first chapters to mathematical notations and proof techniques, emphasizing that the notations form the biggest obstacle, not the mathematical concepts themselves. This approach allows to gradually prepare students for using tools that are necessary to put graph theory to work: complex networks. In the second part of the book the student learns about random networks, small worlds, the structure of the Internet and the Web, peer-to-peer systems, and social networks. Again, everything is discussed at an elementary level, but such that in the end students indeed have the feeling that they: 1.Have learned how to read and understand the basic mathematics related to graph theory.

图与网络优化 对策论 动态规划 运输问题 目标规划

Random Graphs: 经典的随机图教材，由剑桥大学2001年出版。 是学习随机图、复杂网络 的极好资料。 格式： PDF（带目录） 作者：Béla Bollobás 版次：第2版 (英文原版) 出版社： Cambridge University Press; 2 edition (October 8, 2001)=================================== 具体书见： http://www.amazon.com/Random-Cambridge-Studies-Advanced-Mathematics/dp/0521797225 Paperback: 518 pages Publisher: Cambridge University Press; 2 edition (October 8, 2001) Language: English ISBN-10: 0521797225 ISBN-13: 978-0521797221 =======================