Results 41 to 50 of about 6,752,678 (299)
Line Graph Contrastive Learning for Link Prediction [PDF]
Pattern Recognition, 2022 Link prediction tasks focus on predicting possible future connections. Most existing researches measure the likelihood of links by different similarity scores on node pairs and predict links between nodes.
Zehua Zhang +3 more
semanticscholar +1 more source
Link Prediction on N-ary Relational Facts: A Graph-based Approach [PDF]
Findings, 2021 Link prediction on knowledge graphs (KGs) is a key research topic. Previous work mainly focused on binary relations, paying less attention to higher-arity relations although they are ubiquitous in real-world KGs. This paper considers link prediction upon
Quan Wang +3 more
semanticscholar +1 more source
Quantifying the Effect of Community Structures for Link Prediction by Constructing Null Models
IEEE Access, 2020 The existing studies of link prediction mostly focused on using network topology properties to improve the accuracy of link prediction. More broadly, researches on the role of community structures for link prediction have recently received increasing ...
Xiao-Ke Xu, Ke-Ke Shang, Jing Xiao
doaj +1 more source
Link Prediction in Co-authorship Networks
Science Journal of University of Zakho, 2022 Besides social network analysis, the Link-Prediction (LP) problem has useful applications in information retrieval, bioinformatics, telecommunications, microbiology, and e-commerce as a forecast of future links in a given context to find what possible ...
Hajar Ali Hasin, Diman Hassan
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Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 2010 In the traditional link prediction problem, a snapshot of a so- cial network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely to ap- pear in the future. In this paper, we introduce cold start link prediction as the problem of predicting the structure of a social network when the network itself is ...
Leroy, Vincent +2 more
openaire +3 more sources
The Absence of a Weak-Tie Effect When Predicting Large-Weight Links in Complex Networks
Entropy, 2023 Link prediction is a hot issue in information filtering. Link prediction algorithms, based on local similarity indices, are widely used in many fields due to their high efficiency and high prediction accuracy.
Chengjun Zhang +6 more
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Seven-Layer Model in Complex Networks Link Prediction: A Survey
Sensors, 2020 Link prediction is the most basic and essential problem in complex networks. This study analyzes the observed topological, time, attributive, label, weight, directional, and symbolic features and auxiliary information to find the lack of connection and ...
Hui Wang, Zichun Le
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Hill Climbing-Based Efficient Model for Link Prediction in Undirected Graphs
Mathematics, 2022 Link prediction is a key problem in the field of undirected graph, and it can be used in a variety of contexts, including information retrieval and market analysis. By “undirected graphs”, we mean undirected complex networks in this study. The ability to
Haji Gul +4 more
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Social Relationship Prediction Integrating Personality Traits and Asymmetric Interactions
Frontiers in Psychology, 2022 Social networks have become an important way for users to find friends and expand their social circle. Social networks can improve users’ experience by recommending more suitable friends to them. The key lies in improving the accuracy of link prediction,
Chunhua Ju +7 more
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Line Graph Neural Networks for Link Prediction [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 We consider the graph link prediction task, which is a classic graph analytical problem with many real-world applications. With the advances of deep learning, current link prediction methods commonly compute features from subgraphs centered at two ...
Lei Cai +3 more
semanticscholar +1 more source