Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations

@article{Yue2019GraphEO,
  title={Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations},
  author={Xiang Zhao Yue and Zhen Wang and Jingong Huang and Srinivasan Parthasarathy and Soheil Moosavinasab and Yungui Huang and Simon M. Lin and Wuxiong Zhang and Ping Zhang and Huan Sun},
  journal={ArXiv},
  year={2019},
  volume={abs/1906.05017}
}
Motivation: Graph embedding learning which aims to automatically learn low-dimensional node representations has drawn increasing attention in recent years. To date, most recent graph embedding methods are mainly evaluated on social and information networks and have yet to be comprehensively studied on biomedical networks under systematic experiments and analyses. On the other hand, for a variety of biomedical network analysis tasks, traditional techniques such as matrix factorization (which can… CONTINUE READING
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