RAPC: Relation Answer Space Prototype Calibration for Multimodal Knowledge Graph Completion
Results show that relation-level historical answer distributions provide useful explicit evidence for top-ranked entity prediction, and propose RAPC, a Relation Answer Space Prototype Calibration framework.