Association·arcadia

GNNs enable prediction tasks

GNN architectures are well suited to prediction problems such as node classification, link prediction, community detection, clustering, graph regression/classification, and graph generation.

Confidence
90%
active

Evidence Quote

GNNs are suited to multiple different levels of prediction tasks

Relationship

Graph Neural Networks (GNNs) enables Prediction tasks enabled by GNNs

Evidence

Reference to Borowiec ML et al. (2019), on applications of deep learning in ecology.

(2019). Applications for deep learning in ecology doi:10.1111/2041-210x.13256

Reference to Gilmer J, Schoenholz SS, Riley PF, Vinyals O, Dahl GE. (2017)

(2017). Neural Message Passing for Quantum Chemistry doi:10.48550/ARXIV.1704.01212