Intelligent Collaborative Decision Generation System with Iterative Prediction of Link Set in Knowledge Graph

A system comprising at least one memory for storing computer instructions and a processing circuitry in communication with the at least one memory, the processing circuitry, when executing the computer instructions, is configured to:

• ingest a knowledge graph comprising a plurality of nodes and a plurality of ground-truth edges to generate a current knowledge graph;
• initiate a predicted link set associated with the current knowledge graph;
• iteratively, until an iteration stoppage condition is met:
• convert the current knowledge graph into embedding vectors in a multi-dimensional embedding space;
• generate a set of single predicted edges, based on the embedding vectors and a query, characterized by normalized linkage scores;
• rank the set of single predicted edges based on the normalized linkage scores in a ranking order;
• add at least one single predicted edge of the set of single predicted edges according to the ranked order to the predicted link set;
• and
• add the at least one single predicted edge of the set of single predicted edges to expand the current knowledge graph;
• and
• after the iteration stoppage condition is met, automatically generate a plain text description of the predicted link set.