research
          
      
      ∙
      08/21/2022
    Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation
Node classification using Graph Neural Networks (GNNs) has been widely a...
          
            research
          
      
      ∙
      03/07/2022
    Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-supervision
In recent years, plentiful evidence illustrates that Graph Convolutional...
          
            research
          
      
      ∙
      06/28/2021
    Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks
Supervised learning, while deployed in real-life scenarios, often encoun...
          
            research
          
      
      ∙
      10/27/2020
    Anti-perturbation of Online Social Networks by Graph Label Transition
Numerous popular online social networks (OSN) would classify users into ...
          
            research
          
      
      ∙
      10/26/2020
     
             
  
  
     
                             share
 share