Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu
TL;DR本文对深度图相似性学习的现有文献进行了综述和分类，讨论了方法和应用的挑战和未来方向。
Abstract
In many domains where data are represented as graphs, learning a similarity metric among graphs is considered a key problem, which can further facilitate various learning tasks, such as classification, clustering, and similarity search. Recently, there has been an increasing interest in deep