A new framework combining a 120,000-entity knowledge graph with contrastive learning outperforms traditional and graph-based ...

A new contrastive learning framework called VMCL improves knowledge graph embedding for unseen entities and shows smooth, predictable gains as model capacity scales up.

Graph machine learning (or graph model), represented by graph neural networks, employs machine learning (especially deep learning) to graph data and is an important research direction in the ...