| 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 |