Graph neural network for traffic forecasting: A survey
Results and benchmarks
Graph neural network for traffic forecasting: A survey focuses on 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
jwwthu/GNN4Traffic is the closest maintained adjacent implementation (Matches contextual method/domain keyword: graph). It is not paper-verified; validate algorithm and evaluation setup against the paper before trusting reported metrics. Community adoption signal: 1212 GitHub stars.
- Adjacent implementations are not paper-verified
- Recommended repository is adjacent and not paper-verified.
- Adjacent implementation match confidence is low.
Reproduction readiness
No repo
No verified implementation available
- No maintained repository has been identified for this paper. Check adjacent implementations or HF artifacts below.
Hardware requirements
- Expect multi-day setup/compute for meaningful reproduction based on current guidance.
Validation caveat
Repositories and ecosystem
Closest related implementations
These are not paper-verified. Use them as reference points when no direct implementation is available.
- jwwthu/GNN4Traffic Adjacent · Confidence: Low · 1,212 stars
Matches contextual method/domain keyword: graph
- guoshnBJTU/ASTGCN-2019-pytorch Adjacent · Confidence: Low · 746 stars
Matches contextual method/domain keyword: graph
- GestaltCogTeam/D2STGNN Adjacent · Confidence: Low · 280 stars
Matches contextual method/domain keyword: graph
- SYLan2019/DSTAGNN Adjacent · Confidence: Low · 229 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.
Tip: start with models, then check datasets and spaces if you need evaluation data or demos.
Research context
1,286
Citations
437
References
Tasks
Computer science, Intelligent transportation system, Graph, Artificial neural network, Traffic flow (computer networking), Public transport, Deep learning, Convolutional neural network
Methods
None detected
Domains
Artificial intelligence, Machine learning
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