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Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding.

Lingfei WuIan En-Hsu YenZhen ZhangKun XuLiang ZhaoXi PengYinglong XiaCharu C. Aggarwal
Published in: KDD (2019)
Keyphrases
  • graph embedding
  • dimensionality reduction
  • low dimensional
  • data representation
  • feature space
  • feature set
  • feature extraction
  • co occurrence
  • machine learning
  • classification accuracy