Temporal Link Prediction: A Survey
Sign Up to like & getrecommendations! 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… read more here.
Keywords: temporal link; prediction survey; link; link prediction ... See more keywords
Exploiting reciprocity toward link prediction
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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… read more here.
Keywords: reciprocity toward; exploiting reciprocity; prediction; link prediction ... See more keywords
A survey on feature extraction and learning techniques for link prediction in homogeneous and heterogeneous complex networks
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DOI: 10.1007/s10462-024-10998-7
Abstract: Complex networks are commonly observed in several real-world areas, such as social, biological, and technical systems, where they exhibit complicated patterns of connectedness and organised clusters. These networks have intricate topological characteristics that frequently elude… read more here.
Keywords: complex networks; feature extraction; prediction; network ... See more keywords
Betweenness centrality-based community adaptive network representation for link prediction
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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.… read more here.
Keywords: representation; community; network; link prediction ... See more keywords
HM-EIICT: Fairness-aware link prediction in complex networks using community information
Sign Up to like & getrecommendations! 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… read more here.
Keywords: community links; community; community information; link prediction ... See more keywords
Cross-KG Link Prediction by Learning Substructural Semantics
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DOI: 10.1007/s11063-024-11537-9
Abstract: Link prediction across different knowledge graphs (i.e. Cross-KG link prediction) plays an important role in discovering new triples and fusing multi-source knowledge. Existing cross-KG link prediction methods mainly rely on entity and relation alignment, and… read more here.
Keywords: link; link prediction; cross link; semantics ... See more keywords
Target link protection against link-prediction-based attacks via artificial bee colony algorithm based on random walk
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-024-02198-0
Abstract: Link prediction is a network analysis model used to discover missing links or future relationships that may appear, which has been widely used in many real network systems to predict the potential relationship between two… read more here.
Keywords: artificial bee; bee colony; link; algorithm ... See more keywords
DeepEC: Adversarial attacks against graph structure prediction models
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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… read more here.
Keywords: attack; adversarial attacks; structure; link prediction ... See more keywords
Hierarchical-aware relation rotational knowledge graph embedding for link prediction
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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,… read more here.
Keywords: link prediction; graph; knowledge graph;
An intermediary probability model for link prediction
Sign Up to like & getrecommendations! 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… read more here.
Keywords: probability model; link; intermediary probability; link prediction ... See more keywords
Who will trade bauxite with whom? Finding potential links through link prediction
Sign Up to like & getrecommendations! 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… read more here.
Keywords: trade bauxite; potential links; bauxite; link prediction ... See more keywords