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DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning
[article]
2021
arXiv
pre-print
Knowledge graphs (KGs), as structured representations of real world facts, are intelligent databases incorporating human knowledge that can help machine imitate the way of human problem solving. However, due to the nature of rapid iteration as well as incompleteness of data, KGs are usually huge and there are inevitably missing facts in KGs. Link prediction for knowledge graphs is the task aiming to complete missing facts by reasoning based on the existing knowledge. Two main streams of
arXiv:2112.09933v1
fatcat:ar3sae45frcylownkrhu3ndqoy