BriefGPT.xyz
May, 2022
图神经网络与概率图模型的交叉:综述
Graph Neural Networks Intersect Probabilistic Graphical Models: A Survey
HTML
PDF
Chenqing Hua
TL;DR
该研究综述了图神经网络和概率图形模型的交叉应用,探讨了GNN如何受益于PGM学习结构表示,如何实现更有效的推理和结构学习,以及分析了近期研究中使用的基准数据集和未来研究方向。
Abstract
graphs
are a powerful data structure to represent relational data and are widely used to describe complex real-world data structures.
probabilistic graphical models
(PGMs) have been well-developed in the past yea
→