[1]: Learning Relation from Data with Deep Learning
read on: - 05 Jan 2020Graph Relational Casual Markov
| 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 |