Results 21 to 30 of about 315,334 (257)
The secure link prediction problem
Advances in Mathematics of Communications, 2019 Link Prediction is an important and well-studied problem for social networks. Given a snapshot of a graph, the link prediction problem predicts which new interactions between members are most likely to occur in the near future. As networks grow in size, data owners are forced to store the data in remote cloud servers which reveals sensitive information
Laltu Sardar, Sushmita Ruj
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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
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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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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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Drug Response Prediction as a Link Prediction Problem [PDF]
Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics, 2017 5 minute rapid-resource talk given at the NetBio track of ISMB-ECCB 2017 in Prague, CZ. Based on an approach using a network proximity algorithm on a heterogeneous network to predict drug response for cancer cell lines. Published in Nature Scientific Reports in January 2017.
Zachary Stanfield +2 more
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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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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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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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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
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Learning from Counterfactual Links for Link Prediction
, 2021 Accepted by ICML ...
Tong Zhao 0003 +4 more
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