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Published in 2019 at "New Generation Computing"
DOI: 10.1007/s00354-019-00065-z
Abstract: The evolutionary behavior of temporal networks has gained the attention of researchers with its ubiquitous applications in a variety of real-world scenarios. Learning evolutionary behavior of networks is directly related to link prediction problem, as…
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Keywords:
temporal link;
prediction survey;
link;
link prediction ... See more keywords
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Published in 2017 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-017-1066-9
Abstract: This paper addresses link prediction problem in directed networks by exploiting reciprocative nature of human relationships. It first proposes a null model to present evidence that reciprocal links influence the process of “triad formation”. Motivated…
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Keywords:
reciprocity toward;
exploiting reciprocity;
prediction;
link prediction ... See more keywords
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Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02633-7
Abstract: Link prediction is a fundamental problem in biological network analysis, personalized recommendation, network evolution modeling, etc. It aims at discovering links in the network that are unknown, missing, or will be formed in the future.…
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Keywords:
representation;
community;
network;
link prediction ... See more keywords
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Published in 2021 at "Journal of Combinatorial Optimization"
DOI: 10.1007/s10878-021-00788-0
Abstract: The evolution of online social networks is highly dependent on the recommended links. Most of the existing works focus on predicting intra-community links efficiently. However, it is equally important to predict inter-community links with high…
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Keywords:
community links;
community;
community information;
link prediction ... See more keywords
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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.07.126
Abstract: Abstract Inspired by the practical importance of graph structured data, link prediction, one of the most frequently applied tasks on graph data, has garnered considerable attention in recent years, and they have been widely applied…
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Keywords:
attack;
adversarial attacks;
structure;
link prediction ... See more keywords
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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.05.093
Abstract: Abstract Knowledge graph embedding, as the upstream task of link prediction which aims to predict new links between entities under the premise of known relations, its reliability greatly affects the performance of link prediction. However,…
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Keywords:
link prediction;
graph;
knowledge graph;
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Published in 2018 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2018.08.068
Abstract: Abstract Among the numerous link prediction algorithms in complex networks, similarity-based algorithms play an important role due to promising accuracy and low computational complexity. Apart from the classical CN-based indexes, several interdisciplinary methods provide new…
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Keywords:
probability model;
link;
intermediary probability;
link prediction ... See more keywords
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Published in 2019 at "Resources Policy"
DOI: 10.1016/j.resourpol.2019.101417
Abstract: Abstract In order to find potential links in bauxite international trade and help bauxite trading countries find new partners as well as diversify trading partners. A link prediction approach was used to find potential bauxite…
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Keywords:
trade bauxite;
potential links;
bauxite;
link prediction ... See more keywords
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Published in 2020 at "Resources Policy"
DOI: 10.1016/j.resourpol.2020.101632
Abstract: Abstract Cobalt is an important metal resource in supporting the development of strategic emerging industries. Recently, it has been widely used in the field of new energy. Cobalt ore and its concentrates are the main…
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Keywords:
cobalt;
trade relations;
link prediction;
trade ... See more keywords
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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-62636-1
Abstract: Link prediction is the task of computing the likelihood that a link exists between two given nodes in a network. With countless applications in different areas of science and engineering, link prediction has received the…
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Keywords:
topology;
similarity popularity;
prediction;
link prediction ... See more keywords
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Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-92427-1
Abstract: The entities of real-world networks are connected via different types of connections (i.e., layers). The task of link prediction in multiplex networks is about finding missing connections based on both intra-layer and inter-layer correlations. Our…
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Keywords:
multiplex networks;
layer;
link;
prediction multiplex ... See more keywords