Compound Analytics: Templates for Integrating Graph Algorithms and Machine Learning

摘要

A general analytical framework is described for melding graph-theoretical algorithms and machine learning technologies. A main goal is to extract latent relationships and other forms of knowledge from immense, noisy, and often incomplete data. Several exemplars illustrate the overall process, and highlight critical methodological decision points encountered across a variety of application domains.