HG
iMoonLab/HGNN
Hypergraph Neural Networks (AAAI 2019)
831 157 +0/wk
GitHub
complex-data deep-learning hypergraph hypergraph-neural-networks pytorch
Trend
3
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
iMoonLab/HGNN has +0 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | HGNN | papers-with-annotations | dreamerv3-torch | MONAILabel |
|---|---|---|---|---|
| Stars | 831 | 831 | 832 | 829 |
| Forks | 157 | 74 | 212 | 263 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | Apache-2.0 |
Capability Radar vs papers-with-annotations
HGNN
papers-with-annotations
Maintenance Activity 0
Last code push 1317 days ago.
Community Engagement 94
Fork-to-star ratio: 18.9%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.