A new contrastive learning framework called VMCL improves knowledge graph embedding for unseen entities and shows smooth, predictable gains as model capacity scales up.
A new framework combining a 120,000-entity knowledge graph with contrastive learning outperforms traditional and graph-based ...
Knowledge graphs are moving to the center of autonomous software development as enterprises push coding agents beyond quick fixes and into large, interconnected codebases. The more code an agent ...
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