Graph convolutional networks and attention-based outlier detection

HIGHLIGHTS

• who: Rui Qiu and collaborators from the School of Software, Xinjiang University, Urumqi, China have published the article: Graph Convolutional Networks and Attention-Based Outlier Detection, in the Journal: (JOURNAL)
• what: To collect the representation information of feature sets and node connections to improve the detection of outliers in Euclidean datasets Accuracy rate， the authors propose a novel Graph Convolutional and Attention-Based Outlier Detection (GCA).The GCA first converts the Euclidean structure data into directed graphs using locally sensitive hashing; then by applying a Graph Convolutional Network the data features and their connectivity graph . . .
  

   

  

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