Abstract: Graph Convolutional Networks (GCNs) have emerged as a leading approach for semi-supervised node classification. However, due to the uneven distribution of labeled nodes in graphs, only a ...

Abstract: Graph neural networks (GNNs) are widely utilized in recommender systems because they can produce effective embeddings by incorporating high-order collaborative information from neighbors.

# This is important as otherwise Github will attempt to build this and it's missing the python libraries and will fail #on_github <- Sys.getenv("GITHUB_ACTIONS ...