Knowledge-Graph-Reasoning-with-Self-supervised-Reinforcement-Learning

Reinforcement learning (RL) is an effective method to find reasoning pathways in incomplete knowledge graphs (KGs). To overcome the challenges of sparse rewards and the explore-exploit dilemma, a self-supervised pretraining method is proposed to warm up the policy network before the RL training stag