New framework bootstraps processing of knowledge graphs for AI applications

A team of researchers led by professor Xindong Wu in Hefei, China has developed an unsupervised entity alignment framework to improve the process of searching for related information in multiple knowledge graphs for artificial intelligence applications. The framework brings together the advantages of multiple approaches and avoids relying on human labor to kickstart the alignment process.

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