图机器学习(Machine Learning on Graphs)是一项重要且普遍存在的任务,其应用范围从药物设计到社交网络中的友情推荐。这个领域的主要挑战是找到一种表示或编码图结构的方法,以便机器学习模型能够轻松地利用它。

图机器学习( Machine Learning on Graphs)专知荟萃

综述

Deep Learning on Graphs: A Survey

Graphs in machine learning: an introduction

Representation Learning on Graphs: Methods and Applications

Attention Models in Graphs: A Survey

A Survey on Network Embedding

Graph Embedding Techniques, Applications, and Performance: A Survey

A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications

Graph Neural Networks: A Review of Methods and Applications

模型算法

入门学习

Machine Learning on Graphs @ NeurIPS 2019

Scalable graph machine learning: a mountain we can climb?

How to get started with machine learning on graphs?

Knowing Your Neighbours: Machine Learning on Graphs

Machine learning with graphs: the next big thing?

AI & Graph Technology: How Graphs Accelerate Machine Learning

视频课程

斯坦福课程:图机器学习《CS224W: Machine Learning with Graphs(Stanford / Fall 2019)》by Jurij Leskovec

Octavian Machine Learning on Graphs Course Cohort 1

Machine learning on graphs

代码

StellarGraph Machine Learning Library

Tutorial

Machine Learning over graphs

Practical Machine Learning on Graphs course

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