dmlc--dgl
Aymen Waheb
3f4645918d
* [Model] Add edge dropout to APPNP [Model] Add edge dropout to APPNP * [Model] Refactor the sampling examples (#498) * reorganize sampling code. * speedup gcn_ns. * speed up gcn_cv * fix graphsage_cv. * undo the modification. * accel training. * update readme. * [Model] Add edge dropout to APPNP [Model] Add edge dropout to APPNP update
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Contributing to DGL
Contribution is always welcomed. A good starting place is the roadmap issue, where you can find our current milestones. All contributions must go through pull requests and be reviewed by the committers. See our contribution guide for more details.
Once your contribution is accepted and merged, congratulations, you are now a contributor to the DGL project. We will put your name in the list below.
Contributors
- Sheng Zha: tree-lstm in MXNet
- Yifei Ma: GCN in MXNet
- Yizhi Liu: RGCN in MXNet
- @hbsun2113: GraphSAGE in Pytorch
- Tianyi Zhang: SGC in Pytorch
- Jun Chen: GIN in Pytorch
- Aymen Waheb: APPNP in Pytorch
Other improvement
- Brett Koonce
- @giuseppefutia
- @mori97
- Hao Jin