Node Classification in Random Trees

arXiv:2311.12167v2 Announce Type: replace
Abstract: We propose a method for the classification of objects that are structured as random trees. Our aim is to model a distribution over the node label assignments in settings where the tree data structure is associated with node attributes (typically high dimensional embeddings). The tree topology is not predetermined and none of the label assignments are present during inference. Other methods that produce a distribution over node label assignment in trees (or more generally in …

abstract aim arxiv classification cs.lg cs.si data distribution embeddings node objects random topology tree trees type