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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

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Graph Convolutional Networks (GCN)

Paper link: https://arxiv.org/abs/1609.02907
Author's code repo: https://github.com/tkipf/gcn. Note that the original code is implemented with Tensorflow for the paper.

Dependencies

Tensorflow 2.1+
requests

bash pip install tensorflow requests export DGLBACKEND=tensorflow

Codes

The folder contains three implementations of GCN:

gcn.py uses DGL's predefined graph convolution module.
gcn_mp.py uses user-defined message and reduce functions.
gcn_builtin.py improves from gcn_mp.py by using DGL's builtin functions so SPMV optimization could be applied.

Results

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

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

cora: ~0.810 (0.79-0.83) (paper: 0.815)
citeseer: 0.707 (paper: 0.703)
pubmed: 0.792 (paper: 0.790)