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graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks (JMLR 2023)
2.7k 458 +0/wk
GitHub
benchmark-framework deep-learning dgl graph-deep-learning graph-neural-networks graph-representation-learning pytorch
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0
Star & Fork Trend (19 data points)
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Forks
Multi-Source Signals
Growth Velocity
graphdeeplearning/benchmarking-gnns has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | benchmarking-gnns | DeepCamera | physicsnemo | Top-AI-Conferences-Paper-with-Code |
|---|---|---|---|---|
| Stars | 2.7k | 2.7k | 2.7k | 2.6k |
| Forks | 458 | 425 | 634 | 601 |
| Weekly Growth | +0 | +1 | +7 | +0 |
| Language | Jupyter Notebook | JavaScript | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | N/A |
Capability Radar vs DeepCamera
benchmarking-gnns
DeepCamera
Maintenance Activity 0
Last code push 1022 days ago.
Community Engagement 86
Fork-to-star ratio: 17.3%. 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.