Factor Graph Neural Networks

Graph Neural Networks

Oct 26, 2023
Factor graph neural networks
Factor graph neural networks

The Factor Graph Neural Network (FGNN) extends traditional graph neural networks (GNNs) to capture dependencies among multiple variables, providing a framework capable of representing Max-Product belief propagation for approximate inference in probabilistic graphical models, with demonstrated effectiveness on synthetic and real datasets.

Jan 1, 2020