Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning

12 Mar 2020Mandana SaebiSteven KriegChuxu ZhangMeng JiangNitesh Chawla

Path-based relational reasoning over knowledge graphs has become increasingly popular due to a variety of downstream applications such as question answering in dialogue systems, fact prediction, and recommender systems. In recent years, reinforcement learning (RL) has provided solutions that are more interpretable and explainable than other deep learning models... (read more)

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