evolvable-graph-diffusion-ot
CommunityAdaptive graph diffusion with OT for connectomes
Education & Research#evolvable#graph-diffusion#optimal-transport#brain-connectome#sc-fc-alignment#high-order-dependency
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Align structural and functional brain connectomes using a learnable optimal transport mechanism to improve disease classification and brain-network analysis, addressing the limitations of fixed SC-FC alignments.
Core Features & Use Cases
- OT-based alignment: learns a transport plan to align SC and FC networks for more accurate downstream analysis.
- Evolvable graph diffusion: dynamically captures higher-order dependencies across brain regions.
- KAN node aggregation: uses neural spline-based transformations for flexible, non-linear feature integration.
- Applications: brain disease classification (e.g., MDD, AD) and structure–function relationship studies in neuroimaging.
Quick Start
Input the SC and FC brain connectome matrices into the EDT-PA model to obtain a disease classification prediction.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: evolvable-graph-diffusion-ot Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#evolvable-graph-diffusion-ot Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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