AG
LirongWu/awesome-graph-self-supervised-learning
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
1.4k 164 +0/wk
GitHub
data-augmentation deep-learning graph-neural-networks machine-learning pre-training pretext-task representation-learning self-supervised-learning transfer-learning unsupervised-learning
Trend
3
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
LirongWu/awesome-graph-self-supervised-learning 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 | awesome-graph-self-supervised-learning | PyTorchStepByStep | coursera-ml-py | n8n-ai-automations |
|---|---|---|---|---|
| Stars | 1.4k | 1.4k | 1.4k | 1.4k |
| Forks | 164 | 497 | 488 | 430 |
| Weekly Growth | +0 | +0 | +1 | +2 |
| Language | N/A | Jupyter Notebook | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | MIT | N/A |
Capability Radar vs PyTorchStepByStep
awesome-graph-self-supervised-learning
PyTorchStepByStep
Maintenance Activity 0
Last code push 601 days ago.
Community Engagement 57
Fork-to-star ratio: 11.4%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.