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Zihao Ye 9a0511c8e9 [NN] nn modules & examples update (#890 )

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* remove some comments about MXNet

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

appnp.py

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

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

README.md

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

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

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

MXNET 1.5+
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")

DGLBACKEND=mxnet python3 train.py --dataset cora --gpu 0

cora: 0.8370 (paper: 0.850)
citeseer: 0.713 (paper: 0.757)
pubmed: 0.798 (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)