jerry107218787的博客

超图理论；无线通信网络中的应用 可以在spring查询一下目录。

汪小帆的网络科学导论一书PPT，一般缺少了这个第七章。

Stanford 大学--Analysis of Networks课程13-19章 Handouts Info Sheet Lecture 01 - 09/25 Course Introduction and Structure of Graphs Lecture 02 - 09/27 Measuring Networks, and Random Graph Model Lecture 03 - 10/02 Link Analysis: PageRank Lecture 04 - 10/04 Network Construction, Inference, and Deconvolution Lecture 05 - 10/09 Motifs and Graphlets Lecture 06 - 10/11 Community Structure in Networks Lecture 07 - 10/16 Community Detection: Spectral Clustering Lecture 08 - 10/18 Link Prediction Lecture 09 - 10/23 Graph Representation Learning Lecture 10 - 10/25 Network Effects and Cascading Behavior (1) Lecture 11 - 10/30 Network Effects and Cascading Behavior (2) Lecture 12 - 11/01 Influence Maximization in Networks Lecture 13 - 11/06 Outbreak Detection in Networks Lecture 14 - 11/08 Network Robustness and Preferential Attachment Lecture 15 - 11/13 Network Centrality Lecture 16 - 11/15 Message Passing and Node Classification Lecture 17 - 11/27 Network Evolution Lecture 18 - 12/04 Knowledge Graphs and Metapaths Lecture 19 - 12/06 Graph Convolutional Networks Recitation 01 - 09/28 Introduction to SNAP.py Recitation 02 - 10/05 Review of Linear Algebra, Probability, and Proof Techniques

Stanford 大学--Analysis of Networks课程的PPT资源第7-12章。 Handouts Info Sheet Lecture 01 - 09/25 Course Introduction and Structure of Graphs Lecture 02 - 09/27 Measuring Networks, and Random Graph Model Lecture 03 - 10/02 Link Analysis: PageRank Lecture 04 - 10/04 Network Construction, Inference, and Deconvolution Lecture 05 - 10/09 Motifs and Graphlets Lecture 06 - 10/11 Community Structure in Networks Lecture 07 - 10/16 Community Detection: Spectral Clustering Lecture 08 - 10/18 Link Prediction Lecture 09 - 10/23 Graph Representation Learning Lecture 10 - 10/25 Network Effects and Cascading Behavior (1) Lecture 11 - 10/30 Network Effects and Cascading Behavior (2) Lecture 12 - 11/01 Influence Maximization in Networks Lecture 13 - 11/06 Outbreak Detection in Networks Lecture 14 - 11/08 Network Robustness and Preferential Attachment Lecture 15 - 11/13 Network Centrality Lecture 16 - 11/15 Message Passing and Node Classification Lecture 17 - 11/27 Network Evolution Lecture 18 - 12/04 Knowledge Graphs and Metapaths Lecture 19 - 12/06 Graph Convolutional Networks Recitation 01 - 09/28 Introduction to SNAP.py Recitation 02 - 10/05 Review of Linear Algebra, Probability, and Proof Techniques

Stanford 大学--Analysis of Networks课程的PPT资源第0-6章。

Barabási Lab 不用介绍了，网络科学、复杂网络研究大牛 Complex Networks- 配套讲义第三讲

Barabási Lab 不用介绍了，网络科学、复杂网络研究大牛 Complex Networks- 配套讲义第二讲

Barabási Lab 不用介绍了，网络科学、复杂网络研究大牛 Complex Networks- 配套讲义第一讲 Class 1: Introduction

安装Cuda+CuDNN+Pytorch+Tensorflow 的详细步骤。 在anaconda下安装pytorch 在anaconda下安装tensorflow

Anaconda Platform Documentation-Release 5.1.0 使用手册