A spatio-temporal self-supervised meta-learning network with dynamic graph learning for traffic flow forecasting.

Qiu Q, Huang Y, Huang X, Zhou W

Open source

DOI
10.1371/journal.pone.0342520
Published
2026
Container
PloS one
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0342520,
  title = {A spatio-temporal self-supervised meta-learning network with dynamic graph learning for traffic flow forecasting.},
  author = {Qiu Q and Huang Y and Huang X and Zhou W},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0342520},
  url = {https://doi.org/10.1371/journal.pone.0342520}
}

RIS

TY  - JOUR
TI  - A spatio-temporal self-supervised meta-learning network with dynamic graph learning for traffic flow forecasting.
AU  - Qiu Q
AU  - Huang Y
AU  - Huang X
AU  - Zhou W
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0342520
UR  - https://doi.org/10.1371/journal.pone.0342520
ER  -

APA

Q, Q., Y, H., X, H., & W, Z. (2026). A spatio-temporal self-supervised meta-learning network with dynamic graph learning for traffic flow forecasting.. PloS one. https://doi.org/10.1371/journal.pone.0342520

Source records