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

综述

Deep Learning on Graphs: A Survey

• [https://arxiv.org/abs/1812.04202]

Graphs in machine learning: an introduction

• [https://arxiv.org/abs/1506.06962]

Representation Learning on Graphs: Methods and Applications

• [https://cs.stanford.edu/people/jure/pubs/graphrepresentation-ieee17.pdf]

Attention Models in Graphs: A Survey

• [https://arxiv.org/pdf/1807.07984.pdf]

A Survey on Network Embedding

• [https://arxiv.org/pdf/1711.08752.pdf]

Graph Embedding Techniques, Applications, and Performance: A Survey

• [https://arxiv.org/pdf/1705.02801.pdf]

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

• [https://arxiv.org/pdf/1709.07604.pdf]

Graph Neural Networks: A Review of Methods and Applications

• [https://arxiv.org/pdf/1812.08434v1.pdf]

模型算法

• Duncan J. Watts & Steven H. Strogatz .Collective dynamics of ‘small-world’ networks.Nature volume 393, pages440–442(1998)
• M. E. J. Newman, S. H. Strogatz, D. J. Watts.Random graphs with arbitrary degree distributions and their applications.Phys. Rev. E 64, 026118 (2001)
• R. Milo, S. Shen-Orr, S. Itzkovitz, N. Kashtan, D. Chklovskii, U. Alon.Network Motifs: Simple Building Blocks of Complex Networks.Science 25 Oct 2002
• Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos, Zoubin Ghahramani:Kronecker Graphs: An Approach to Modeling Networks. CoRR abs/0812.4905 (2008)
• Vincent D. Blondel, Jean-Loup Guillaume, Renaud Lambiotte, Etienne Lefebvre.Fast unfolding of communities in large networks.J. Stat. Mech. (2008) P10008
• Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li:[RolX: structural role extraction & mining in large graphs(https://doi.org/10.1145/2339530.2339723). KDD 2012: 1231-1239
• Jaewon Yang, Jure Leskovec:Overlapping community detection at scale: a nonnegative matrix factorization approach. WSDM 2013: 587-596

入门学习

Machine Learning on Graphs @ NeurIPS 2019

• [https://medium.com/@mgalkin/machine-learning-on-graphs-neurips-2019-875eecd41069]

Scalable graph machine learning: a mountain we can climb?

• [https://medium.com/@mgalkin/machine-learning-on-graphs-neurips-2019-875eecd41069]

How to get started with machine learning on graphs？

• [https://medium.com/octavian-ai/how-to-get-started-with-machine-learning-on-graphs-7f0795c83763]

Knowing Your Neighbours: Machine Learning on Graphs

• [https://www.kdnuggets.com/2019/08/neighbours-machine-learning-graphs.html]

Machine learning with graphs: the next big thing?

• [https://datascience.aero/machine-learning-graphs/]

AI & Graph Technology: How Graphs Accelerate Machine Learning

• [https://neo4j.com/blog/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

• [https://www.zhuanzhi.ai/vip/0540ecf7799f9596872580f3cd2f6477]

Octavian Machine Learning on Graphs Course Cohort 1

• [https://github.com/digantamisra98/OctavianAI_ML_Graph_Course]

Machine learning on graphs

• [https://www.octavian.ai/machine-learning-on-graphs-course]
• [https://github.com/Octavian-ai/experiments]

代码

StellarGraph Machine Learning Library

• [https://github.com/stellargraph/stellargraph]

Tutorial

Machine Learning over graphs

• [https://pydata.org/cordoba2019/schedule/presentation/2/machine-learning-over-graphs/]

Practical Machine Learning on Graphs course

• [https://github.com/stellargraph/stellar-practical-ml-on-graphs]