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 stage. The seeding paths used in the supervised pre…
☆26Oct 13, 2024Updated last year
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