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Multi-Scale Variational Graph AutoEncoder for Link Prediction
Web Search and Data Mining, 2022Link prediction has become a significant research problem in deep learning, and the graph-based autoencoder model is one of the most important methods to solve it.
Zhihao Guo +4 more
semanticscholar +1 more source
2019 IEEE International Conference on Big Data (Big Data), 2019
Due to its universal applications in the domain of social network analysis, e-commerce, and recommendation systems, the task of link prediction has received enormous attention from the data mining and machine learning communities over the last decade.
Andrew Stanhope +4 more
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Due to its universal applications in the domain of social network analysis, e-commerce, and recommendation systems, the task of link prediction has received enormous attention from the data mining and machine learning communities over the last decade.
Andrew Stanhope +4 more
openaire +1 more source
Virtual-Link Representation for Link Prediction
2019 IEEE International Conference on Big Data (Big Data), 2019Link prediction predicts the likelihood of a future association between two nodes in a network. It plays an important role in mining and analyzing the evolution of networks and it is the fundament of many applications, including bioinformatics, e-commerce, security domain and co-authorship networks. The past few decades has witnessed the development of
Can Yao +4 more
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Technological links and predictable returns
Journal of Financial Economics, 2017Employing a classic measure of technological closeness between firms, we show that the returns of technology-linked firms have strong predictive power for focal firm returns. A long-short strategy based on this effect yields monthly alpha of 117 basis points.
Charles M.C. Lee +3 more
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Predictive tests for linked changes
Statistics in Medicine, 2008AbstractMutations may confer a survival advantage to an organism and they can also reduce their fitness. In particular, we are interested in identifying correlated changes in genomic sequences. We consider the general situation where the observed characters at two genomic positions are summarized by an r × c contingency table.
C, Ahn +2 more
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PREDICTION BASED LINK STATE UPDATE
International Journal of Computers and Applications, 2007The deployment of communication-intensive, real-time multimedia applications on the Internet presents challenges to network routing, as these applications often demand more bandwidth and are less tolerant to delay, delay jitter and loss than traditional data applications.
Q. Wang, J. Vincent, G. King
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Internal link prediction: A new approach for predicting links in bipartite graphs
Intelligent Data Analysis, 2013Many real-world complex networks, like actor-movie or file-provider relations, have a bipartite nature and evolve over time. Predicting links that will appear in them is one of the main approach to understand their dynamics. Only few works address the bipartite case, though, despite its high practical interest and the specific challenges it raises.
Allali, Oussama +2 more
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2019
This chapter contributes toward introducing some learning automata-based algorithms for link prediction in social networks. Since one of the common link prediction methods for predicting hidden links use a deterministic and static graph where a snapshot of the network is analyzed to find hidden or future links, we study link prediction in social ...
Alireza Rezvanian +4 more
openaire +1 more source
This chapter contributes toward introducing some learning automata-based algorithms for link prediction in social networks. Since one of the common link prediction methods for predicting hidden links use a deterministic and static graph where a snapshot of the network is analyzed to find hidden or future links, we study link prediction in social ...
Alireza Rezvanian +4 more
openaire +1 more source
Genetic prediction in X‐linked agammaglobulinaemia
American Journal of Medical Genetics, 1988AbstractS21 (DXS17) and pXG12 (DXS94), two probes linked to the locus of X‐linked agammaglobulinaemia (XLA), were used for genetic prediction in 13 such families. A method of allowing for nonallelic genetic heterogeneity was demonstrated in the calculation of the genetic risks, specifying a certain proportion of unlinked families.
Y. L. Lau +7 more
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Joint Neighborhood Subgraphs Link Prediction
2017A crucial computational task for relational and network data is the “link prediction problem” which allows for example to discover unknown interactions between proteins to explain the mechanism of a disease in biological networks, or to suggest novel products for a customer in a e-commerce recommendation system.
Tran-Van, Dinh +2 more
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