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Chang Liu 885be1784b [Example][Refactor] Refactor GCN example (#4160 )

* Refactor GCN example

* Refactor GCN based on graphsage

* Readme update

* Minor update

* update

* Remove user-defined GCN implementation

* README update

* Update

* Update CONTRIBUTORS.md

* update task_example_test

Co-authored-by: Xin Yao <xiny@nvidia.com>

2022-07-05 15:58:31 +08:00

README.md

[Example][Refactor] Refactor GCN example (#4160 )

2022-07-05 15:58:31 +08:00

train.py

[Example][Refactor] Refactor GCN example (#4160 )

2022-07-05 15:58:31 +08:00

README.md

Graph Convolutional Networks (GCN)

Paper link: https://arxiv.org/abs/1609.02907
Author's code repo: https://github.com/tkipf/gcn.

How to run

DGL built-in GraphConv module

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

python3 train.py --dataset cora

Summary

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