Scalable Deep Gaussian Markov Random Fields for General Graphs

Joel Oskarsson, Per Sidén, Fredrik Lindsten

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…