drl-gnn-brain-network
CommunityDRL-GNN for brain network analysis.
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Brain network analysis requires powerful, hybrid methods that combine reinforcement learning with graph neural networks to improve representation learning and classification accuracy on neuroimaging data.
Core Features & Use Cases
- DRL-guided GNN for brain-network representation learning and classification
- Supports brain-network datasets for disease diagnosis and research
- Lightweight PyTorch implementation suitable for research pipelines
Quick Start
Provide a brain network dataset and run the DRL-GNN brain network classifier to obtain its disease prediction.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: drl-gnn-brain-network Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#drl-gnn-brain-network Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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