منابع مشابه
Link Prediction via Matrix Completion
Ratha Pech, Hao Dong1,2,∗, Liming Pan, Hong Cheng, Zhou Tao1,2,∗ 1 CompleX Lab, University of Electronic Science and Technology of China, Chengdu 611731, People’s Republic of China 2 Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, People’s Republic of China and 3 Center for Robotics, University of Electronic Science and Technology of China, Ch...
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Recently, machine learning has been applied to the problem of predicting future climates, informed by the multi-model ensemble of physics-based climate models that inform the Intergovernmental Panel on Climate Change (IPCC). Past work (Monteleoni et al., 2011, McQuade and Monteleoni, 2012) demonstrated the promise of online learning algorithms applied to this problem. Here we propose a novel ap...
متن کاملLink Prediction via Matrix Factorization
We propose to solve the link prediction problem in graphs using a supervised matrix factorization approach. The model learns latent features from the topological structure of a (possibly directed) graph, and is shown to make better predictions than popular unsupervised scores. We show how these latent features may be combined with optional explicit features for nodes or edges, which yields bett...
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The ubiquitous proliferation of online social networks has led to the widescale emergence of relational graphs expressing unique patterns in link formation and descriptive user node features. Matrix Factorization and Completion have become popular methods for Link Prediction due to the low rank nature of mutual node friendship information, and the availability of parallel computer architectures...
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This paper considers how to computationally predict unknown protein-protein interactions (PPIs) given the experimentally verified PPIs. Matrix completion, a very popular machine learning technique that can be used to to infer the missing part of a matrix, has been introduced to recover the missing interactions of an incomplete PPI network. The benefit of Matrix completion is that it does not re...
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ژورنال
عنوان ژورنال: EPL (Europhysics Letters)
سال: 2017
ISSN: 0295-5075,1286-4854
DOI: 10.1209/0295-5075/117/38002