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: 12 months 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 (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2017-11-22T16:17:15.000Z (over 8 years ago)
- Last Synced: 2025-05-07T19:02:14.083Z (about 1 year ago)
- Topics: graph-kernels, neural-architectures, tensorflow-models, theano-models
- Language: Python
- Homepage:
- Size: 51.8 KB
- Stars: 59
- Watchers: 7
- Forks: 18
- Open Issues: 2
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-graph-classification - [Python Reference
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** (taolei@csail.mit.edu)
- **Wengong Jin** (wengong@csail.mit.edu)