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Neural-Symbolic Models for Logical Queries on Knowledge Graphs
huyi / August 2022
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Abstract
问题
Answering complex first-order logic (FOL) queries on knowledge graphs
传统解决方案
- Traditional symbolic methods traverse a complete knowledge graph to extract the answers
- Recent neural methods learn geometric embeddings for complex queries. –> reasoning process比较难做(GQE,query2box之类的)