I have a database, I have converted it to kowledge graph ,this database contain a missing values .
now i want to predict this value using knowledge graph
help me .......
Not exactly sure what you would like to do, however maybe knowledge inference is what you are looking for? At least you can use knowledge inference in order to insert missing values. Have a look for instance for those papers:
https://www.cs.cmu.edu/~tom/pubs/lao-emnlp11.pdf
https://www.aclweb.org/anthology/P16-1124.pdf
Apply Regression imputation method , it is very easy and more robust
thank you all ,i found out some solutions
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