Xiangyuan Kong

Orcid: 0000-0002-3606-081X

According to our database1, Xiangyuan Kong authored at least 9 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2023
Adaptive graph generation based on generalized pagerank graph neural network for traffic flow forecasting.
Appl. Intell., December, 2023

FGBC: Flexible graph-based balanced classifier for class-imbalanced semi-supervised learning.
Pattern Recognit., November, 2023

JointGraph: joint pre-training framework for traffic forecasting with spatial-temporal gating diffusion graph attention network.
Appl. Intell., June, 2023

2022
3LPR: A three-stage label propagation and reassignment framework for class-imbalanced semi-supervised learning.
Knowl. Based Syst., 2022

STGs: construct spatial and temporal graphs for citywide crowd flow prediction.
Appl. Intell., 2022

Adaptive spatial-temporal graph attention networks for traffic flow forecasting.
Appl. Intell., 2022

2021
FMixCutMatch for semi-supervised deep learning.
Neural Networks, 2021

2020
STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting.
IEEE Access, 2020

Feature Extraction of Load Curve Based on Autoencoder Network.
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020


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