AG
flyingdoog/awesome-graph-explainability-papers
Papers about explainability of GNNs
797 75 +0/wk
GitHub
deep-learning explainability explainable-ai graph-mining graph-neural-networks machine-learning xai
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
flyingdoog/awesome-graph-explainability-papers has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | awesome-graph-explainability-papers | makeMoE | awesome-active-learning | neoml |
|---|---|---|---|---|
| Stars | 797 | 797 | 797 | 797 |
| Forks | 75 | 92 | 74 | 126 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | N/A | Jupyter Notebook | N/A | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | CC0-1.0 | Apache-2.0 |
Capability Radar vs makeMoE
awesome-graph-explainability-papers
makeMoE
Maintenance Activity 84
Last code push 34 days ago.
Community Engagement 47
Fork-to-star ratio: 9.4%. Lower fork ratio may indicate passive usage.
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.