Recurrent Attention Walk for Semi-supervised Classification

@article{Akujuobi2020RecurrentAW,
  title={Recurrent Attention Walk for Semi-supervised Classification},
  author={Uchenna Akujuobi and Qiannan Zhang and Han Yufei and X. Zhang},
  journal={Proceedings of the 13th International Conference on Web Search and Data Mining},
  year={2020}
}
  • Uchenna Akujuobi, Qiannan Zhang, +1 author X. Zhang
  • Published 2020
  • Computer Science, Mathematics
  • Proceedings of the 13th International Conference on Web Search and Data Mining
  • In this paper, we study the graph-based semi-supervised learning for classifying nodes in attributed networks, where the nodes and edges possess content information. Recent approaches like graph convolution networks and attention mechanisms have been proposed to ensemble the first-order neighbors and incorporate the relevant neighbors. However, it is costly (especially in memory) to consider all neighbors without a prior differentiation. We propose to explore the neighborhood in a reinforcement… CONTINUE READING
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