dmlc--dgl
Zihao Ye
650f6ee1e0
* gat * upd * upd sage * upd * upd * upd * upd * upd * add gmmconv * upd ggnn * upd * upd * upd * upd * add citation examples * add README * fix cheb * improve doc * formula * upd * trigger * lint * lint * upd * add test for transform * add test * check * upd * improve doc * shape check * upd * densechebconv, currently not correct (?) * fix cheb * fix * upd * upd sgc-reddit * upd * trigger
737 B
737 B
Inductive Representation Learning on Large Graphs (GraphSAGE)
- Paper link: http://papers.nips.cc/paper/6703-inductive-representation-learning-on-large-graphs.pdf
- Author's code repo: https://github.com/williamleif/graphsage-simple. Note that the original code is simple reference implementation of GraphSAGE.
Requirements
- requests
bash pip install requests
Results
Run with following (available dataset: "cora", "citeseer", "pubmed")
python3 graphsage.py --dataset cora --gpu 0
- cora: ~0.8330
- citeseer: ~0.7110
- pubmed: ~0.7830