• DOI:10.24963/ijcai.2018/438
Corpus ID: 51606615

ANRL: Attributed Network Representation Learning via Deep Neural Networks

@inproceedings{Zhang2018ANRLAN,
  title={ANRL: Attributed Network Representation Learning via Deep Neural Networks},
  author={Zhen Zhang and Hongxia Yang and Jiajun Bu and Sheng Zhou and Pinggang Yu and J. Zhang and M. Ester and C. Wang},
  booktitle={IJCAI},
  year={2018}
}

• Zhen Zhang, Hongxia Yang, +5 authors C. Wang
• Published in IJCAI 2018
• Computer Science

Network representation learning (RL) aims to transform the nodes in a network into lowdimensional vector spaces while preserving the inherent properties of the network. [...] Key Method To capture the network structure, attribute-aware skipgram model is designed based on the attribute encoder to formulate the correlations between each node and its direct or indirect neighbors. We conduct extensive experiments on six real-world networks, including two social networks, two citation networks and two user behavior…Expand

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