Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 25 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Asymptotic mixed graph convolutional with trend-aware self-attention networks for traffic flow forecasting

Related

  1. Improved Dung Beetle Optimizer–Tuned Convolutional–Recurrent Temporal Self-Attention Network for Multi-Horizon Traffic Speed Forecasting
    Jiwu Tang, Linchao An, Haifeng Liu +1
    Sensors (Basel, Switzerland)Peer-reviewedCC BYFull textEurope PMC
  2. Attention-based Spatio-Temporal Graph Convolutional Networks-enhanced deep reinforcement learning for adaptive traffic signal control in urban traffic networks
    Jing Wang, Xiaopeng Wang, Yang Mo +4
    Scientific ReportsPeer-reviewedCC BYFull text1 citedGeneral medicineDOAJ
  3. Convolutional LSTM and Self-Attention Networks in PyTorch for Decade-Ahead Forecasting of Land-Cover Time Series
    Polina Lemenkova
    GeomaticsPeer-reviewedCC BY 4.0Full textEcologyEnvironmental science & pollutionHAL
  4. Predicting Adsorbate-Solvent Interaction Energies in Zeolite Pores Using Convolutional Neural Networks with Attention Mechanisms.
    Jiexin Shi, Xiuting Chen, Rachel B Getman
    Journal of chemical information and modelingPeer-reviewedCC BYFull textMaterials & polymersEurope PMC
  5. COVLIAS 3.5: integration of attention-based segmentation technique with fuzzy dilated convolutional neural networks for improved classification of chest X-ray scans for multiclass pneumonia diagnosis
    Arun K. Dubey, Achin Jain, Shruti Vashist +4
    Scientific ReportsPeer-reviewedCC BYFull textMedical imaging & radiologyDOAJ
BibTeX
@article{wang2026asymptotic,
  title = {{Asymptotic mixed graph convolutional with trend-aware self-attention networks for traffic flow forecasting}},
  author = {Hongyan Wang},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-72648-y},
  url = {https://www.nature.com/articles/s41598-026-72648-y},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Asymptotic mixed graph convolutional with trend-aware self-attention networks for traffic flow forecasting
AU  - Hongyan Wang
PY  - 2026
DA  - 2026/10/15
JO  - Scientific Reports
DO  - 10.1038/s41598-026-72648-y
UR  - https://www.nature.com/articles/s41598-026-72648-y
SN  - 2045-2322
ER  -