Python Developer for GNNs & DGL
Budget: $25 – $50 USD
I'm seeking a Python developer who specializes in Graph Neural Networks (GNNs). The primary focus will be on implementing temporal models such as TGAT and TGN, as well as spatial models. You will be working with the Deep Graph Library (DGL) on this project.
Key Responsibilities:
- Develop and implement GNNs with a focus on temporal and spatial models.
- Utilize DGL for all development tasks.
- Target graph classification as the primary goal of the GNN.
Ideal Skills:
- Extensive experience with Python and GNNs.
- Proficiency in DGL is a must.
- Prior work with large-scale datasets.
- Strong understanding of temporal and spatial models.
Please share examples of relevant work you have done in the past.
Key Responsibilities:
- Develop and implement GNNs with a focus on temporal and spatial models.
- Utilize DGL for all development tasks.
- Target graph classification as the primary goal of the GNN.
Ideal Skills:
- Extensive experience with Python and GNNs.
- Proficiency in DGL is a must.
- Prior work with large-scale datasets.
- Strong understanding of temporal and spatial models.
Please share examples of relevant work you have done in the past.