id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
v979v121z4s	Baoxu Shi	Improving Knowledge Graph Quality with Network Representation Learning	1904		.txt	text/plain	163	7	38	Knowledge graphs serve as an essential source for many tasks in data mining, artificial intelligence, and interdisciplinary challenges such as entity disambiguation, fact checking, and computational journalism. In this work, I present a representation learning-based approach to improve the quality of knowledge graphs through a process called Knowledge Graph Completion.	cache/v979v121z4s.txt	txt/v979v121z4s.txt