Skip to content

GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks

Notifications You must be signed in to change notification settings

Udit-records/GCN-LASE

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 

Repository files navigation

GCN-LASE

The official implementation of GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks in IJCAI-19.

See example_train.sh for usage.

To cite our work (bib):

@inproceedings{ijcai19li,
  author    = {Ziyao Li and
               Liang Zhang and
               Guojie Song},
  title     = {{GCN-LASE:} Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks},
  booktitle = {Proceedings of the 28th International Joint Conference on Artificial Intelligence, {IJCAI} 2019},
  pages     = {2959--2965},
  publisher = {ijcai.org},
  year      = {2019},
  url       = {https://doi.org/10.24963/ijcai.2019/410},
  doi       = {10.24963/ijcai.2019/410}
}

About

GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 99.9%
  • Shell 0.1%