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力荐一本最新的GNN书籍, 领域大牛云集~(附下载方式)

力荐一本最新的GNN书籍<Graph Neural Networks: Foundations, Frontiers, and Applications>, 基本做GNN比较厉害的大佬全都参与了.

从基础, 前沿到应用, 各种围绕GNN展开的研究全都有, 如节点/边/图级别任务, 同质/异质/动态图神经网络, 表示能力, 可解释性, AutoML, CV/NLP/推荐/药物等应用. 目前为止在图神经网络方面最为全面的一本书,希望能帮助大家更快更好的进入图神经网络这个领域。

小编看了其中部分章节,感觉对GNN的理解更上一层~

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开源网站:https://graph-neural-networks.github.io/index.html

懒人可去下面的QQ群文件下载。

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内容介绍

本书主要分为3部分: Introduction, Foundations of Graph Neural Networks, 和 Frontiers of Graph Neural Networks.

Part I Introduction

本书将GNN归类到一种学习图表示的方法. 传统的矩阵分解, node2vec是浅层的图表示学习方法.

  • 1 Representation Learning

  • 2 Graph Representation Learning

  • 3 Graph Neural Networks

Part II Foundations of Graph Neural Networks

本部分涵盖了GNN的基本任务, 表示能力(这部分力荐是Pan Li 和 Jure合著的), 大规模问题, 可解释性, 和鲁棒性.

  • 4 Graph Neural Networks for Node Classification

  • 5 The Expressive Power of Graph Neural Networks

  • 6 Graph Neural Networks: Scalability

  • 7 Interpretability in Graph Neural Networks

  • 8 Graph Neural Networks: Adversarial Robustness

Part III Frontiers of Graph Neural Networks

这部分介绍了GNN在多种类型图(同质/异质/动态)上的多种任务(图分类/边预测/图生成/图结构学习等).

  • 9 Graph Neural Networks: Graph Classification

  • 10 Graph Neural Networks: Link Prediction

  • 11 Graph Neural Networks: Graph Generation

  • 12 Graph Neural Networks: Graph Transformation

  • 13 Graph Neural Networks: Graph Matching

  • 14 Graph Neural Networks: Graph Structure Learning

  • 15 Dynamic Graph Neural Networks

  • 16 Heterogeneous Graph Neural Networks

  • 17 Graph Neural Networks: AutoML

  • 18 Graph Neural Networks: Self-supervised Learning

Part IV Broad and Emerging Applications with Graph Neural Networks

这部分就是GNN的应用了.

  • 19 Graph Neural Networks in Modern Recommender Systems .

  • 20 Graph Neural Networks in Computer Vision

  • 21 Graph Neural Networks in Natural Language Processing

  • 22 Graph Neural Networks in Program Analysis

  • 23 Graph Neural Networks in Software Mining

  • 24 GNN-based Biomedical Knowledge Graph Mining in Drug Development

  • 25 Graph Neural Networks in Predicting Protein Function and Interactions

  • 26 Graph Neural Networks in Anomaly Detection

  • 27 Graph Neural Networks in Urban Intelligence

部分作者介绍

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原文链接:https://blog.csdn.net/weixin_45519842/article/details/122430038?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522167003264916800215017993%2522%252C%2522scm%2522%253A%252220140713.130102334.pc%255Fblog.%2522%257D&request_id=167003264916800215017993&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~blog~first_rank_ecpm_v1~times_rank-29-122430038-null-null.nonecase&utm_term=%E4%B9%A6%E7%B1%8D%E6%8E%A8%E8%8D%90

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