GF
svjan5/GNNs-for-NLP
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
788 110 +0/wk
GitHub
deep-learning emnlp2019 graph-convolutional-networks pytorch tensorflow tutorial
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
svjan5/GNNs-for-NLP has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | GNNs-for-NLP | long-range-arena | darknet | Texo |
|---|---|---|---|---|
| Stars | 788 | 788 | 788 | 788 |
| Forks | 110 | 86 | 103 | 45 |
| Weekly Growth | +0 | +0 | +0 | +1 |
| Language | Python | Python | C++ | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | Apache-2.0 | Apache-2.0 | AGPL-3.0 |
Capability Radar vs long-range-arena
GNNs-for-NLP
long-range-arena
Maintenance Activity 0
Last code push 1111 days ago.
Community Engagement 70
Fork-to-star ratio: 14.0%. 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.