Results 31 to 40 of about 6,752,678 (299)
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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Knowledge Graph Embedding for Link Prediction [PDF]
ACM Transactions on Knowledge Discovery from Data, 2020 Knowledge Graphs (KGs) have found many applications in industrial and in academic settings, which in turn, have motivated considerable research efforts towards large-scale information extraction from a variety of sources. Despite such efforts, it is well
Andrea Rossi +4 more
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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 +2 more
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Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs [PDF]
Web Search and Data Mining, 2022 Link prediction on dynamic graphs is an important task in graph mining. Existing approaches based on dynamic graph neural networks (DGNNs) typically require a significant amount of historical data (interactions over time), which is not always available ...
Linhao Luo, Reza Haffari, Shirui Pan
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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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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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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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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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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 on Complex Networks: An Experimental Survey
Data Science and Engineering, 2022 Complex networks have been used widely to model a large number of relationships. The outbreak of COVID-19 has had a huge impact on various complex networks in the real world, for example global trade networks, air transport networks, and even social ...
Haixia Wu +3 more
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