Like node classification, relation prediction blurs the boundaries of traditional machine learning categories — often being referred to as both supervised and unsupervised — and it requires inductive biases that are specific to the graph domain. In addition, like node classification, there are many variants of relation prediction, including settings where the predictions are made over a single, fixed graph, as well as settings where relations must be predicted across multiple disjoint graphs.