# Discussion on "Sparse graphs using exchangeable random measures" by Francois Caron and Emily B. Fox

## TL;DR

This paper discusses the use of exchangeable random measures to model sparse graphs, highlighting their advantages and implications for statistical graph analysis.

## Contribution

It provides a critical discussion on the methodology and applications of sparse graph models based on exchangeable random measures.

## Key findings

- Exchangeable random measures effectively model sparse graphs.
- The approach offers flexible and scalable graph representations.
- Implications for future research in statistical network analysis.

## Abstract

This is a discussion on "Sparse graphs using exchangeable random measures" by Francois Caron and Emily B. Fox, published in Journal of the Royal Statistical Society, Series B, 2017.