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Knowledge Graphs capture the semantic relations between realworld entities and can thus, allow end-users to explore different aspects of an entity of interest by traversing through the edges in the graph. Most of the state-of-the-art methods in entity recommendation are limited in the sense that they allow users to search only in the immediate neighborhood of the entity of interest. This is majorly due to efficiency reasons as the search space increases exponentially as we move further awaydoi:10.1145/3209542.3209548 dblp:conf/ht/BhatiaV18 fatcat:7hdykloynzexdfvwunwe36zq7a