Module - Deep Learning on graphs (1)

Table of Contents

Node embedding


0:00 Introduction
2:12 Language model
5:04 Skip-gram model
8:44 Hierarchical softmax
11:19 DeepWalk
14:26 Negative sampling
19:10 node2vec
22:28 results on les Misérables
25:10 results for multi-label classification

Slides