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 ...

Original implementation for paper GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training. GCC is a contrastive learning framework that implements unsupervised structural graph ...