DE
mims-harvard/decagon
Graph convolutional neural network for multirelational link prediction
469 152 +0/wk
GitHub
deep-learning embeddings graph-convolutional-networks graph-neural-networks pharmacology representation-learning
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
mims-harvard/decagon has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | decagon | Video-Dataset-Loading-Pytorch | rllte | vestige |
|---|---|---|---|---|
| Stars | 469 | 469 | 470 | 470 |
| Forks | 152 | 45 | 90 | 42 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | Python | Rust |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | BSD-2-Clause | MIT | AGPL-3.0 |
Capability Radar vs Video-Dataset-Loading-Pytorch
decagon
Video-Dataset-Loading-Pytorch
Maintenance Activity 0
Last code push 1234 days ago.
Community Engagement 100
Fork-to-star ratio: 32.4%. 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.