Knowledge Graphs

Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning
Knowledge Graphs typically suffer from incompleteness. A popular approach to knowledge graph completion is to infer missing knowledge …
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Reinforcement Learning based Meta-path Discovery in Large-scale Heterogeneous Information Networks
Meta-paths are important tools for a wide variety of data mining and network analysis tasks in Heterogeneous Information Networks …
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