SSSNET: semi-supervised signed network clustering
Node embeddings are a powerful tool in the analysis of networks; yet, their full potential for the important task of node clustering has not been fully exploited. In particular, most state-of-the-art methods generating node embeddings of signed networks focus on link sign prediction, and those that...
| Main Authors: | , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Society for Industrial and Applied Mathematics
2022
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