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This project forked from owenonline/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 stage. The seeding paths used in the supervised pretra

License: MIT License