Multi-Dimensional Network Embedding with Hierarchical Structure

@inproceedings{Ma2018MultiDimensionalNE,
  title={Multi-Dimensional Network Embedding with Hierarchical Structure},
  author={Yao Ma and Zhaochun Ren and Ziheng Jiang and Jiliang Tang and Dawei Yin},
  booktitle={WSDM},
  year={2018}
}
Information networks are ubiquitous in many applications. A popular way to facilitate the information in a network is to embed the network structure into low-dimension spaces where each node is represented as a vector. The learned representations have been proven to advance various network analysis tasks such as link prediction and node classification. The majority of existing embedding algorithms are designed for the networks with one type of nodes and one dimension of relations among nodes… CONTINUE READING

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