Contents..目　　录
推荐序一
推荐序二
推荐序三
前言
第一篇 图数据与图模型
第1章 图数据基础 ··························2
1.1 数学基础 ·····································2
1.2 图的基本知识 ······························4
1.2.1.什么是图 ·························4
1.2.2.图中基本元素及定义 ·········5
1.3 图的表示方法 ····························10
1.3.1.图的代数表示 ················11
1.3.2.图的遍历 ·······················13
1.4 图数据及图神经网络 ··················14　
1.4.1.图数据的性质 ················14
1.4.2.图数据应用 ···················15
1.4.3.图神经网络的发展史 ·······16
1.5 本章小结 ···································17
第2章 图神经网络基础 ·················18
2.1 神经网络的基本知识 ··················18
2.1.1.神经元 ··························19
2.1.2.前馈神经网络 ················22
2.1.3.反向传播 ·······················23
2.2 卷积神经网络 ····························24
2.2.1.卷积神经网络基本概念
和特点 ··························25
2.2.2.卷积神经网络模型 ··········29
2.3 循环神经网络 ····························30
2.3.1.循环神经网络结构和
特点 ·····························31
2.3.2.循环神经网络模型 ··········35
2.4 图神经网络 ································36
2.4.1.图神经网络综述 ·············36
2.4.2.卷积图神经网络 ·············41
2.4.3.循环图神经网络 ·············42
2.5 本章小结 ···································44
第3章 知识图谱基础 ·····················46
3.1 知识图谱的定义和模型 ···············46
3.1.1.知识图谱定义 ················47
3.1.2.知识图谱嵌入 ················48
3.1.3.距离变换模型 ················51
3.1.4.语义匹配模型 ················53
3.2 知识图谱上的神经网络 ···············55
3.2.1.关系图卷积网络 ·············55
3.2.2.知识图谱与注意力模型 ·····55
3.3 本章小结 ···································59