DeepAI AI Chat
Log In Sign Up

Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions

06/02/2021
by   Leslie O'Bray, et al.
51

Graph generative models are a highly active branch of machine learning. Given the steady development of new models of ever-increasing complexity, it is necessary to provide a principled way to evaluate and compare them. In this paper, we enumerate the desirable criteria for comparison metrics, discuss the development of such metrics, and provide a comparison of their respective expressive power. We perform a systematic evaluation of the main metrics in use today, highlighting some of the challenges and pitfalls researchers inadvertently can run into. We then describe a collection of suitable metrics, give recommendations as to their practical suitability, and analyse their behaviour on synthetically generated perturbed graphs as well as on recently proposed graph generative models.

READ FULL TEXT

page 9

page 33

page 34

01/06/2018

A Note on the Inception Score

Deep generative models are powerful tools that have produced impressive ...
07/23/2020

Evaluation metrics for behaviour modeling

A primary difficulty with unsupervised discovery of structure in large d...
11/19/2022

Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models

In this work, we present some recommendations on the evaluation of state...
06/13/2022

Evaluating Graph Generative Models with Contrastively Learned Features

A wide range of models have been proposed for Graph Generative Models, n...
01/30/2023

Curvature Filtrations for Graph Generative Model Evaluation

Graph generative model evaluation necessitates understanding differences...
01/24/2022

On Evaluation Metrics for Graph Generative Models

In image generation, generative models can be evaluated naturally by vis...
01/19/2021

A framework to compare music generative models using automatic evaluation metrics extended to rhythm

To train a machine learning model is necessary to take numerous decision...