Cgun-2a: deep graph convolutional network via contrastive learning for large-scale zero-shot image classification

HIGHLIGHTS

• who: Liangwei Li et al. from the University of Electronic Science and Technology of China, No4, Section, North Jianshe Road have published the Article: CGUN-2A: Deep Graph Convolutional Network via Contrastive Learning for Large-Scale Zero-Shot Image Classification, in the Journal: Sensors 2022, 9980 of 15/Dec/2022
• what: The authors propose top-k graph pooling method based on the self-attention mechanism to control specific node aggregation and the authors introduce dual structural symmetric knowledge graph additionally to enhance the representation of nodes in the latent space. To balance the insufficient message . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.