Cross-lingual entity alignment in knowledge graphs is a crucial task in knowledge fusion.
This task involves learning low-dimensional embeddings for nodes in different knowledge …

Graph is a famous data structure that has prevalent applications in the real world, including
social networks, biological networks, and computer networks. In these applications, graph …

Single-source SimRank query calculates the similarity between a query node and every
node in a graph, which traverses the paths starting from the query node for similarity …

This paper introduces SyncSignature, the first fully parallelizable algorithmic framework for
tree similarity joins under edit distance. SyncSignature makes use of implicit-synchronized …

Myriads of web applications in the Big Data era demand an effective measure of similarity
based on billion-scale network structures, eg, collaborative filtering. Recently, CoSimRank …

RoleSim and SimRank are among the popular graph-theoretic similarity measures with
many applications in, eg, web search, collaborative filtering, and sociometry. While RoleSim …

SimRank is an attractive link-based similarity measure used in fertile fields of Web search
and sociometry. However, the existing deterministic method by Kusumoto et al. for retrieving …

In search sessions, a series of interactions in the context has been proven to be
advantageous in capturing users' search intents. Existing studies show that designing pre …

SimRank is a popular measurement for evaluating the node-to-node similarities based on
the graph topology. In recent years, single-source and top-k SimRank queries have received …

Given a source node and a target node, the hitting probability tells us how likely an-
terminating random walk (which stops with probability at each step) starting from can hit …