| Topic: | Ensembles of graph convolutional networks for semi-supervised classification |
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| Department: | Katedra kybernetiky |
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| Supervisor: | Georgios Tolias, Ph.D. |
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| Announce as: | Diplomová práce, Bakalářská práce, Semestrální projekt |
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| Description: | Graph-based method for label propagation form the classical approach for semi-supervised classification. A variant of convolutional neural networks which operate directly on graphs, called graph convolutional networks, is a modern and more effective approach to the task. The goal of this project is to improve the classification accuracy by an ensemble of such networks. |
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| Bibliography: | Kipf, Welling, SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS, ICLR 2017 |
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