brainnetcnn skillA
brainnetcnn is agent-read markdown (skill) from cuhk-aim-group/neurodiscovery: Use this model skill whenever the user wants to train, evaluate, or apply BrainNetCNN to dense ROI-by-ROI structural or functional connectivity matrices for neuroimaging classification or regression. Triggers include 'BrainNetCNN', 'edge-to-edge convolution', 'connectome CNN', 'FC matrix CNN', 'brain network classification', and 'connectivity regression'..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# BrainNetCNN Model Skill
## Overview
BrainNetCNN applies convolutional operators designed for adjacency matrices:
edge-to-edge (E2E), edge-to-node (E2N), and node-to-graph (N2G). Use it when
each subject is represented by a dense, consistently ordered ROI connectivity
matrix and the target is categorical or continuous.
- Paper: Kawahara et al., 2017, *BrainNetCNN: Convolutional neural networks for
brain networks; towards predicting neurodevelopment*
- NeuroClaw implementation: `models/brainnetcnn/`
- Input: dense FC matrix `[subjects, ROI, ROI]`
- Tasks: classification and regression
- Data adapter: shared with BNT
**Research use only.**
---
## Input Contract
Prepare one file per subject:
```text
data/braingnn_input/<atlas>/sub-<subject_id>.pt
```
Each file must contain:
```python
{
"subject_id": str,
"atlas": str,
"fc_matrix": Tensor[n_roi, n_roi], # Fisher-z values
"node_features": Tensor[n_roi, n_roi], # accepted fallback
}
```
The shared BNT adapter applies `tanh` to recover Pearson correlations and
zeros the diagonal. All subjects in one run must use the same atlas, ROI
ordering, and matrix size.
Labels use CSV format:
```text
…Read the whole file at its exact version.
How to install
mdr add cuhk-aim-group/neurodiscovery/brainnetcnn@git:20260825.cbd02ffmdr add cuhk-aim-group/neurodiscovery/brainnetcnn@sha256:e4e8035fdb857d3aPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_alfu2iqxlfvbqkx7)
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Source
cuhk-aim-group/neurodiscovery · 91 stars · license MIT · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_alfu2iqxlfvbqkx7 GET https://markdownregistry.com/api/v1/resolve?ref=cuhk-aim-group/neurodiscovery/brainnetcnn GET https://markdownregistry.com/api/v1/blob/e4e8035fdb857d3aa2110c4198ba31689e050dfcbe360036e89a55934e22d544
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