Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

arXiv:2304.10031v3 Announce Type: replace
Abstract: The natural world is full of complex systems characterized by intricate relations between their components: from social interactions between individuals in a social network to electrostatic interactions between atoms in a protein. Topological Deep Learning (TDL) provides a comprehensive framework to process and extract knowledge from data associated with these systems, such as predicting the social community to which an individual belongs or predicting whether a protein can be a reasonable target for drug development. …

abstract architectures arxiv complex systems components cs.lg deep learning framework interactions natural network networks neural networks process protein relations social survey systems type world