DataFunTalk
Dec 23, 2020 · Artificial Intelligence
Advances in Knowledge Graph Completion: Methods, Challenges, and Future Directions
This article reviews the rapid progress of knowledge graph completion, covering its background, formal problem definition, major technical approaches—including representation learning, path‑based search, reinforcement learning, logical reasoning, and meta‑learning—while discussing their challenges, recent improvements, and promising future research directions.
Reinforcement Learningcompletionknowledge graph
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