Scalable Deep Gaussian Markov Random Fields for General Graphs

Joel Oskarsson, Per Sidén, Fredrik Lindsten

Abstract: Machine learning methods on graphs have proven useful in many applications due to their ability to handle generally structured data. The framework of Gaussian Markov Random Fields (GMRFs) provides ...