Graph-based semi-supervised learning for relational networks

@inproceedings{Peel2016GraphbasedSL,
  title={Graph-based semi-supervised learning for relational networks},
  author={Leto Peel},
  booktitle={SDM},
  year={2016}
}
  • Leto Peel
  • Published in SDM 2016
  • Computer Science, Physics, Mathematics
  • We address the problem of semi-supervised learning in relational networks, networks in which nodes are entities and links are the relationships or interactions between them. Typically this problem is confounded with the problem of graph-based semi-supervised learning (GSSL), because both problems represent the data as a graph and predict the missing class labels of nodes. However, not all graphs are created equally. In GSSL a graph is constructed, often from independent data, based on… CONTINUE READING

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