Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human designed to ...

Includes the basic convolutional graph neural networks (selection -zero-padding and graph coarsening-, spectral, aggregation), and some non-convolutional graph neural networks as well (node-variant, ...