Learning Chain Of Thoughts Prompts for Predicting Entities, Relations, and even Literals on Knowledge Graphs

Learning Chain Of Thoughts Prompts for Predicting Entities, Relations, and even Literals on Knowledge Graphs explores A prompt learning framework that uses chain-of-thought prompts to predict missing entities, relations, and literals in knowledge graphs, outperforming traditional embedding models.. Commercial viability score: 8/10 in Knowledge Graphs.