Enhancing Model Accuracy (Based on Research Paper ) on existing Graph Neural Network Recommendation System project
Budget: ₹1,500 – ₹12,500 INR
I have a project that revolves around a research paper on Recommendation Systems using Graph Neural Networks. The task at hand is to apply future works as suggested in the research paper, with the aim of slightly increasing the model accuracy.
To be more specific, the focus will be on:
- Enhancing Model Architecture: This will involve adding more layers, changing activation functions and implementing attention mechanisms.
- Improving Data Preprocessing: While the specific improvements in data preprocessing have not been specified, this will likely involve tasks such as cleaning data for consistency and feature engineering.
Ideal candidates for this project should have:
- Strong experience in working with Graph Neural Networks and recommendation systems.
- Proven record of enhancing model architectures.
- Experience in data preprocessing and feature engineering.
If you are able to help, please get in touch.
To be more specific, the focus will be on:
- Enhancing Model Architecture: This will involve adding more layers, changing activation functions and implementing attention mechanisms.
- Improving Data Preprocessing: While the specific improvements in data preprocessing have not been specified, this will likely involve tasks such as cleaning data for consistency and feature engineering.
Ideal candidates for this project should have:
- Strong experience in working with Graph Neural Networks and recommendation systems.
- Proven record of enhancing model architectures.
- Experience in data preprocessing and feature engineering.
If you are able to help, please get in touch.