Results 11 to 20 of about 315,334 (257)
Review on Learning and Extracting Graph Features for Link Prediction
Machine Learning and Knowledge Extraction, 2020 Link prediction in complex networks has attracted considerable attention from interdisciplinary research communities, due to its ubiquitous applications in biological networks, social networks, transportation networks, telecommunication networks, and ...
Ece C. Mutlu +3 more
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Classification using link prediction [PDF]
Neurocomputing, 2019 Link prediction in a graph is the problem of detecting the missing links that would be formed in the near future. Using a graph representation of the data, we can convert the problem of classification to the problem of link prediction which aims at finding the missing links between the unlabeled data (unlabeled nodes) and their classes.
Seyed Amin Fadaee, Maryam Amir Haeri
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Evaluating link prediction methods [PDF]
Knowledge and Information Systems, 2014 Link prediction is a popular research area with important applications in a variety of disciplines, including biology, social science, security, and medicine. The fundamental requirement of link prediction is the accurate and effective prediction of new links in networks.
Yang Yang 0008 +2 more
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Causal lifting and link prediction
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2023 Existing causal models for link prediction assume an underlying set of inherent node factors—an innate characteristic defined at the node’s birth—that governs the causal evolution of links in the graph. In some causal tasks, however, link formation is path-dependent : the outcome of link ...
Leonardo Cotta +3 more
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Link Prediction in Directed Networks Utilizing the Role of Reciprocal Links
IEEE Access, 2020 Link prediction in directed networks has always been a hot topic in many fields including network science, information system and data mining. Intuitively, once links are endowed with certain orientations, their reciprocate nature can potentially provide
Jinsong Li +5 more
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A Systematic Analysis of Link Prediction in Complex Network
IEEE Access, 2021 Link mining is an important task in the field of data mining and has numerous applications in informal community. Suppose a real-world complex network, the responsibility of this function is to anticipate those links which are not occurred yet in the ...
Haji Gul +3 more
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Link prediction method based on complex network dynamics model
网络与信息安全学报, 2019 Link prediction is an important part of the study of missing links and future formations in complex networks.Currently,network structure-based link prediction methods are rich in results.Research on link prediction based on complex network dynamics model
Yonghao PAN, Hongtao YU, Yiteng WU
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Similarity Index based Link Prediction Algorithms in Social Networks: A Survey
Journal of Telecommunications and Information Technology, 2016 Social networking sites have gained much popularity in the recent years. With millions of people connected virtually generate loads of data to be analyzed to infer meaningful associations among links.
Pulipati Srilatha, Ramakrishnan Manjula
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Multi-scale link prediction [PDF]
Proceedings of the 21st ACM international conference on Information and knowledge management, 2012 20 pages, 10 ...
Donghyuk Shin +2 more
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Is Megamerger Better?–Based on the Link Prediction Perspective
IEEE Access, 2022 Link prediction provides insight into the evolutionary mechanisms of complex networks by predicting missing edges. Existing research has proposed many similarity algorithms based on local information, and some link prediction algorithms typically perform
Yang Wang, Jifa Wang
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