dmlc--dgl
Zihao Ye
9a0511c8e9
* upd * damn it * fuck * fuck pylint * fudge * remove some comments about MXNet * upd * upd * damn it * damn it * fuck * fuck * upd * upd * pylint bastard * upd * upd * upd * upd * upd * upd * upd * upd * upd
27 行
727 B
Markdown
27 行
727 B
Markdown
Inductive Representation Learning on Large Graphs (GraphSAGE)
|
|
============
|
|
|
|
- Paper link: [http://papers.nips.cc/paper/6703-inductive-representation-learning-on-large-graphs.pdf](http://papers.nips.cc/paper/6703-inductive-representation-learning-on-large-graphs.pdf)
|
|
- Author's code repo: [https://github.com/williamleif/graphsage-simple](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")
|
|
```bash
|
|
python3 main.py --dataset cora --gpu 0
|
|
```
|
|
|
|
* cora: ~0.817
|
|
* citeseer: ~0.699
|
|
* pubmed: ~0.790 |