dmlc--dgl
paoxiaode
eec219abbc
* Change the curand_init parameter * Change the curand_init parameter * commit * commit Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>
3.4 KiB
3.4 KiB
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
- Minjie Wang from AWS
- Da Zheng from AWS
- Quan Gan from AWS
- Mufei Li from AWS
- Jinjing Zhou from AWS
- Xiang Song from AWS
- Tianjun Xiao from AWS
- Tong He from AWS
- Jian Zhang from AWS
- Qipeng Guo from AWS
- Xiangkun Hu from AWS
- Ying Rui from AWS
- Israt Nisa from AWS
- Zheng Zhang from AWS
- Zihao Ye from University of Washington
- Chao Ma
- Qidong
- Lingfan Yu from New York University
- Yu Gai from University of California, Berkeyley
- Qi Huang from New York University
- Dominique LaSalle from Nvidia
- Pawel Piotrowcz from Intel
- Michal Szarmach from Intel
- Izabela Mazur from Intel
- Sanchit Misra from Intel
- Sheng Zha from AWS
- Yifei Ma from AWS
- Yizhi Liu from AWS
- Kay Liu from UIC
- Tianqi Zhang from SJTU
- Hengrui Zhang
- Seung Won Min from UIUC
- @hbsun2113: GraphSAGE in PyTorch
- Tianyi Zhang: SGC in PyTorch
- Jun Chen: GIN in PyTorch
- Aymen Waheb: APPNP in PyTorch
- Chengqiang Lu: MGCN, SchNet and MPNN in PyTorch
- Gongze Cao: Cluster GCN
- Yicheng Wu: RotatE in PyTorch
- Hao Xiong: DeepWalk in PyTorch
- Zhi Lin: Integrate FeatGraph into DGL
- Andrew Tsesis: Framework-Agnostic Graph Ops
- Brett Koonce
- @giuseppefutia
- @mori97
- @xnuohz
- Hao Jin from Amazon
- Xin Yao from Nvidia
- Abdurrahman Yasar from Nvidia
- Shaked Brody from Technion
- Jiahui Liu from Nvidia