| Index | Papers | Our Slides | 
  
  
    
      | 1 | A Flexible Generative Framework for Graph-based Semi-supervised Learning | Arsh Survey | 
    
      | 2 | Learning Discrete Structures for Graph Neural Networks | Arsh Survey | 
    
      | 4 | Graph Markov Neural Nets | Arsh Survey | 
    
      |  | Graph Markov Neural Networks | Jack Survey | 
    
      | 5 | GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations | Arsh Survey | 
    
      | 6 | Subgraph Neural Networks | Arsh Survey | 
    
      | 7 | Pointer Graph Networks | Arsh Survey | 
    
      | 8 | Modeling Relational Data with Graph Convolutional Networks | Arsh Survey | 
    
      | 9 | Graph Learning | Zhe Survey | 
    
      | 8 | Neural Relational Inference | Zhe Survey |