Graph Convolutional Networks against Degree-Related Biases

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Other Links: arxiv.org

Abstract:

In recent years, Graph Convolutional Networks (GCNs) show competitive performance in different domains, such as social network analysis, recommendation, and smart city. However, training GCNs with insufficient supervision is very difficult. The performance of GCNs becomes unsatisfying with few labeled data. Although some pioneering work...More

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