Data Processing on Large Clusters
Resources for Graphs
I am reviewing graph data-related subjects. I draft some of the resources here. I will keep updating this post while checking new resources.
Spectral and Algebraic Graph Theory
Incomplete Draft, dated December 4, 2019
Current version available at http://cs-www.cs.yale.edu/homes/spielman/sagt.
- Graph Representation Learning by William L. Hamilton
- Networks, Crowds, and Markets: Reasoning About a Highly Connected World by David Easley and Jon Kleinberg
- Network Science by Albert-László Barabási
Stanford CS224W: Machine Learning with Graphs | 2021
Some Other Courses on Graph Analytics
Networks (Daron Acemoglu and Asu Ozdaglar, MIT)
Analysis of Networks (Jure Leskovec, Stanford)
Networks (David Easley and Jon Kleinberg, Cornell)
Topics in Social Data (Johan Ugander, Stanford)
Network Theory (Mark Newman, University of Michigan)
Graphs and Networks (Dan Spielman, Yale)
Statistical Network Analysis (Jennifer Neville, Purdue)
Network Analysis and Modeling (Aaron Clauset, Sante Fe Institute)
Parallel Graph Analysis (George Slota, RPI)
Large-Scale Graph Mining (A. Erdem Sariyuce, University of Buffalo)
Mining Large-scale Graph Data (Danai Koutra, University of Michigan)
Data Mining meets Graph Mining (Leman Akoglu, Stony Brook)
Graphs and Networks (Charalampos Tsourakakis, Aalto University)
Large-Scale Graph Processing (Keval Vora, Simon Fraser University)
Moocs:
Applied Social Network Analysis in Python of University of Michigan
Tools
Books
The Human Network: How Your Social Position Determines Your Power, Beliefs, and Behaviors
Social and Economic Networks Matthew O. Jackson
Research institution
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