Results 41 to 50 of about 7,799,039 (309)
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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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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Using Markov Chains for link prediction in adaptive web sites [PDF]
, 2002 The large number of Web pages on many Web sites has raised navigational problems. Markov chains have recently been used to model user navigational behavior on the World Wide Web (WWW).
J. Nielsen +6 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 Based on Local Random Walk [PDF]
, 2010 The problem of missing link prediction in complex networks has attracted much attention recently. Two difficulties in link prediction are the sparsity and huge size of the target networks.
Gallagher B. +12 more
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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
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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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Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction [PDF]
Knowledge-Based Systems, 2021 A few models have tried to tackle the link prediction problem, also known as knowledge graph completion, by embedding knowledge graphs in comparably lower dimensions.
Peyman Baghershahi +2 more
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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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