DeepPath: A Reinforcement Learning Method forKnowledge Graph Reasoning
Table 3: Fact prediction results (MAP) on two datasets.
['Methods', 'Fact Prediction Results FB15K-237', 'Fact Prediction Results NELL-995']
Fact Prediction Instead of ranking the target entities, this task directly ranks all the positive and negative samples for a particular relation. The PRA is not included as a baseline here, since the PRA code only gives a target entity ranking for each query node instead of a ranking of all triples. Our RL model gets even better results on this task. We also observe that the RL model beats all the embedding baselines on most reasoning tasks.