项目文件夹

文件

T

文件历史

xiang song(charlie.song) b347590a37 [Dataset] Citation graph (#1902 )

* citation graph

* GCN example use new citatoin dataset

* mxnet gat

* triger

* Fix

* Fix gat

* fix

* Fix tensorflow dgi

* Fix appnp, graphsage for mxnet

* fix monet and sgc for mxnet

* Fix tagcn

* update sgc, appnp

Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal>

2020-08-01 19:25:50 +08:00

appnp.py

[NN] nn modules & examples update (#890 )

2019-11-03 17:29:42 -05:00

README.md

all demo use python-3 (#555 )

2019-05-23 10:38:05 +08:00

train.py

[Dataset] Citation graph (#1902 )

2020-08-01 19:25:50 +08:00

README.md

Predict then Propagate: Graph Neural Networks meet Personalized PageRank (APPNP)

Paper link: Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Author's code repo: https://github.com/klicperajo/ppnp.

Dependencies

PyTorch 0.4.1+
requests

bash pip install torch requests

Code

The folder contains an implementation of APPNP (appnp.py).

Results

Run with following (available dataset: "cora", "citeseer", "pubmed")

python3 train.py --dataset cora --gpu 0

cora: 0.8370 (paper: 0.850)
citeseer: 0.715 (paper: 0.757)
pubmed: 0.793 (paper: 0.797)

Experiments were done on dgl datasets (GCN settings) which are different from those used in the original implementation. (discrepancies are detailed in experimental section of the original paper)