GC-LSTM: graph convolution embedded LSTM for dynamic network link prediction
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- 30 September 2021
- journal article
- research article
- Published by Springer Nature in Applied Intelligence
- Vol. 52 (7) , 7513-7528
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- Link prediction based on temporal similarity metrics using continuous action set learning automataPhysica A: Statistical Mechanics and its Applications, 2016
- Evolving networks—Using past structure to predict the futurePhysica A: Statistical Mechanics and its Applications, 2016
- An efficient algorithm for link prediction in temporal uncertain social networksInformation Sciences, 2016
- Correlation network analysis for multi-dimensional data in stocks marketPhysica A: Statistical Mechanics and its Applications, 2015
- Evaluating link prediction methodsKnowledge and Information Systems, 2014
- A Deep Learning Approach to Link Prediction in Dynamic Networks2014
- Triadic closure in two-mode networks: Redefining the global and local clustering coefficientsSocial Networks, 2013
- What's in a crowd? Analysis of face-to-face behavioral networksJournal of Theoretical Biology, 2011
- Clustering and preferential attachment in growing networksPhysical Review E, 2001
- Long Short-Term MemoryNeural Computation, 1997