126 citations · 131 across the 2 of their papers we have counts for
2 papers
cs.DB2019★ 5 cited
Efficient Knowledge Graph Accuracy Evaluation
Junyang Gao, Xian Li, Yifan Ethan Xu +3
Estimation of the accuracy of a large-scale knowledge graph (KG) often requires humans to annotate samples from the graph. How to obtain statistically meaningful estimates for accu…
cs.LG2019★ 126 cited
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
Namyong Park, Andrey Kan, Xin Luna Dong +2
How can we estimate the importance of nodes in a knowledge graph (KG)? A KG is a multi-relational graph that has proven valuable for many tasks including question answering and sem…