Presenter 
      Papers 
      Paper URL 
      Our Slides 
     
   
  
    
      Generate 
      Maximum-Likelihood Augmented Discrete Generative Adversarial Networks 
      PDF Tkach PDF  +  GaoJi Pdf  
     
    
      Generate 
      Graphical Generative Adversarial Networks 
      PDF Arshdeep PDF  
     
    
      Generate 
      GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models, ICML2018 
      PDF Arshdeep PDF  
     
    
      Generate 
      Inference in probabilistic graphical models by Graph Neural Networks 
      PDF Arshdeep PDF  
     
    
      Generate 
      Encoding robust representation for graph generation 
      Pdf Arshdeep PDF  
     
    
      Generate 
      Junction Tree Variational Autoencoder for Molecular Graph Generation 
      Pdf Tkach PDF   +  Arshdeep Pdf  
     
    
      Generate 
      Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation NeurIPS18 
        
      Tkach PDF  
     
    
      Generate 
      Towards Variational Generation of Small Graphs 
      Pdf Tkach PDF   + Arshdeep Pdf  
     
    
      Generate 
      Convolutional Imputation of Matrix Networks 
      Pdf Tkach PDF  
     
    
      Generate 
      Graph Convolutional Matrix Completion 
      Pdf Tkach PDF  
     
    
      Generate 
      NetGAN: Generating Graphs via Random Walks ICML18 
      [ULR] 
      Tkach PDF  
     
    
      Beam 
      Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement 
      URL Tkach PDF  
     
   
        
       
      
        
        
  
  
  
    
    
      Autoencoder ,  
    
      Beam ,  
    
      discrete ,  
    
      GAN ,  
    
      generative ,  
    
      graph ,  
    
      graphical-model ,  
    
      imputation ,  
    
      Matrix-Completion ,  
    
      molecule ,  
    
      NLP ,  
    
      random ,  
    
      RL ,  
    
      RNN ,  
    
      robustness ,  
    
      Variational 
    
     
  
  
  
  
    
    
      2GraphsNN ,  
    
      5Generative 
    
     
  
        
  March 15, 2019