Graph neural network for traffic forecasting: A survey
Results and benchmarks
Graph neural network for traffic forecasting: A survey presents a graph neural networks approach for computer science.
Benchmark evidence is limited
Evidence graph: 3 refs, 3 links.
Utility signals: depth 70/100, grounding 75/100, status medium.
Implementation
No direct implementation yet
Maintained implementation evidence is not confirmed for this paper yet.
Use the implementation status and reproduction sections for the current action plan.
No verified maintained repo yet
There is no verified maintained implementation yet. Use this baseline plan to decide whether to prototype now or defer.
- No maintained paper-verified implementation was found; start with the closest related repositories below.
- Compare repo methods against the paper equations/algorithm before trusting metrics.
- Create a minimal baseline implementation from the paper and use adjacent repos as references.
Time to first repro: a few days
thunlp/GNNPapers is the closest maintained adjacent implementation (Matches contextual method/domain keyword: graph neural networks). It is not paper-verified; validate algorithm and evaluation setup against the paper before trusting reported metrics. Community adoption signal: 16847 GitHub stars.
- Adjacent implementations are not paper-verified
- Recommended repository is adjacent and not paper-verified.
Reproduction readiness
No repo
No verified implementation available
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Hardware requirements
- Expect multi-day setup/compute for meaningful reproduction based on current guidance.
Validation caveat
Framework baselines
- Hugging Face Transformers training guide
Modern transformer training baseline.
- PyTorch nn.Transformer docs
Reference transformer building block implementation.
Repositories and ecosystem
Closest related implementations
These are not paper-verified. Use them as reference points when no direct implementation is available.
- thunlp/GNNPapers Adjacent · Confidence: Medium · 16,847 stars
Matches contextual method/domain keyword: graph neural networks
- dmlc/dgl Adjacent · Confidence: Medium · 14,287 stars
Matches contextual method/domain keyword: graph
No additional verified repositories beyond the primary recommendation.
Hugging Face artifacts
No trustworthy direct or curated related Hugging Face artifacts were found yet. Use targeted searches to quickly locate candidate models, datasets, and demos.
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Research context
1,336
Citations
308
References
Tasks
Computer science, Intelligent transportation system, Graph, Artificial neural network, Traffic flow (computer networking), Public transport, Deep learning, Convolutional neural network
Methods
graph neural networks, graph attention networks
Domains
Artificial intelligence, Machine learning
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