3D GCN for animal muscle attachment site prediction -- 2

I'm in need of an expert who can develop a Graph Convolutional Network (GCN) for the purpose of recognizing specific parts on a 3D STL surface model an predicting those on new dataset. The main focus of the task is the prediction of muscle attachment sites in animal on the 3D surface model.

Key Requirements:
- Development of a Graph Convolutional Network (GCN) specifically designed for 3D surface models
- Experience in object recognition, particularly identifying animals
- Ability to work with partially labeled datasets and enhance with additional labeling

Skills and Experience:
- Expertise in machine learning, particularly Graph Convolutional Networks (GCNs)
- Strong background in 3D modeling and familiarity with STL file format
- Proven track record in object recognition, preferably with a focus on animal identification
- Experience handling partially labeled datasets and improving data quality through additional labeling
- Proficient in Python and deep learning frameworks like TensorFlow or PyTorch

Your work will play a crucial role in my project, as the accurate recognition of animals on the 3D model is paramount. If you have the necessary skills and experience, I am looking forward to reviewing your proposal.