https://github.com/taolei87/icml17_knn

Deriving Neural Architectures from Sequence and Graph Kernels
https://github.com/taolei87/icml17_knn

graph-kernels neural-architectures tensorflow-models theano-models

Last synced: about 1 month ago
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Deriving Neural Architectures from Sequence and Graph Kernels

• Host: GitHub
• URL: https://github.com/taolei87/icml17_knn
• Owner: taolei87
• Created: 2017-06-06T04:05:27.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-11-22T16:17:15.000Z (almost 7 years ago)
• Last Synced: 2024-09-30T17:05:14.206Z (about 2 months ago)
• Topics: graph-kernels, neural-architectures, tensorflow-models, theano-models
• Language: Python
• Homepage:
• Size: 51.8 KB
• Stars: 60
• Watchers: 8
• Forks: 18
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
## Neural architectures from sequence and graph kernels

### About

This repo contains the code of the paper:

*Deriving Neural Architectures from Sequence and Graph Kernels. ICML 2017.  [[PDF]](https://arxiv.org/abs/1705.09037)* 




### Tasks and Directories

* [Molecular graph regression](/graph_knn)

* [Language modeling on PTB](/lm)

* [Classification on SST](/sst)




### Contributors

-  **Tao Lei** ([email protected])

-  **Wengong Jin** ([email protected])