Multi-Hop Knowledge Graph Reasoning with Pre-trained Models and Continuous Rule Guidance.
The multi-hop reasoning tasks have been formalized as a sequential decision problem, which rely on multiple walk-based agents (the entity agent and the relation agent) to extend reasoning paths, until the target answer is reached. Knowledge graph embedding models and symbol logical rules are adopted to guide the entity...