## 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](https://docs.dgl.ai/contribute.html) 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](https://github.com/jermainewang) from AWS
* [Da Zheng](https://github.com/zheng-da) from AWS
* [Quan Gan](https://github.com/BarclayII) from AWS
* [Mufei Li](https://github.com/mufeili) from AWS
* [Jinjing Zhou](https://github.com/VoVAllen) from AWS
* [Xiang Song](https://github.com/classicsong) from AWS
* [Tianjun Xiao](https://github.com/sneakerkg) from AWS
* [Tong He](https://github.com/hetong007) from AWS
* [Jian Zhang](https://github.com/zhjwy9343) from AWS
* [Qipeng Guo](https://github.com/QipengGuo) from AWS
* [Xiangkun Hu](https://github.com/HuXiangkun) from AWS
* [Ying Rui](https://github.com/Rhett-Ying) from AWS
* [Israt Nisa](https://github.com/isratnisa) from AWS
* [Zheng Zhang](https://github.com/zzhang-cn) from AWS
* [Zihao Ye](https://github.com/yzh119) from University of Washington
* [Chao Ma](https://github.com/aksnzhy)
* [Qidong](https://github.com/soodoshll)
* [Lingfan Yu](https://github.com/lingfanyu) from New York University
* [Yu Gai](https://github.com/GaiYu0) from University of California, Berkeyley
* [Qi Huang]() from New York University
* [Dominique LaSalle](https://github.com/nv-dlasalle) from Nvidia
* [Pawel Piotrowcz](https://github.com/pawelpiotrowicz) from Intel
* [Michal Szarmach](https://github.com/mszarma) from Intel
* [Izabela Mazur](https://github.com/IzabelaMazur) from Intel
* [Sanchit Misra](https://github.com/sanchit-misra) from Intel
* [Sheng Zha](https://github.com/szha) from AWS
* [Yifei Ma](https://github.com/yifeim) from  AWS
* [Yizhi Liu](https://github.com/yzhliu) from AWS
* [Kay Liu](https://github.com/kayzliu) from UIC
* [Tianqi Zhang](https://github.com/lygztq) from SJTU
* [Hengrui Zhang](https://github.com/hengruizhang98)
* [Seung Won Min](https://github.com/davidmin7) from UIUC
* [@hbsun2113](https://github.com/hbsun2113): GraphSAGE in PyTorch
* [Tianyi Zhang](https://github.com/Tiiiger): SGC in PyTorch
* [Jun Chen](https://github.com/kitaev-chen): GIN in PyTorch
* [Aymen Waheb](https://github.com/aymenwah): APPNP in PyTorch
* [Chengqiang Lu](https://github.com/geekinglcq): MGCN, SchNet and MPNN in PyTorch
* [Gongze Cao](https://github.com/Zardinality): Cluster GCN
* [Yicheng Wu](https://github.com/MilkshakeForReal): RotatE in PyTorch
* [Hao Xiong](https://github.com/ShawXh): DeepWalk in PyTorch
* [Zhi Lin](https://github.com/kira-lin): Integrate FeatGraph into DGL
* [Andrew Tsesis](https://github.com/noncomputable): Framework-Agnostic Graph Ops
* [Brett Koonce](https://github.com/brettkoonce)
* [@giuseppefutia](https://github.com/giuseppefutia)
* [@mori97](https://github.com/mori97)
* [@xnuohz](https://github.com/xnuohz)
* [Hao Jin](https://github.com/haojin2) from Amazon
* [Xin Yao](https://github.com/yaox12) from Nvidia
* [Shaked Brody](https://github.com/shakedbr) from Technion
