Qihang Guo

Orcid: 0009-0003-4053-3880

According to our database1, Qihang Guo authored at least 18 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Controllable Exploration-Exploitation in User-Item Interactions Toward Long-Term Recommendation Gains: A Pane-Aware Graph Transformer Architecture.
IEEE Trans. Knowl. Data Eng., July, 2026

CPG-GCN: consensus-prototype guided graph convolutional network.
Appl. Intell., June, 2026

VQIT-GNN: A collaborative knowledge transfer for node-level structure imbalance.
Pattern Recognit., 2026

Hierarchical decoupling from global-to-structural dependency for unsupervised graph representation learning on noisy graphs.
Knowl. Based Syst., 2026

2025
Cross-Graph Interaction Networks.
IEEE Trans. Knowl. Data Eng., May, 2025

Collaborative graph neural networks for augmented graphs: A local-to-global perspective.
Pattern Recognit., 2025

Robust graph mutual-assistance convolutional networks for semi-supervised node classification tasks.
Inf. Sci., 2025

Less for Better: A View Filter-Driven Graph Representation Fusion Network.
Entropy, 2025

Feature-topology cascade perturbation for graph neural network.
Eng. Appl. Artif. Intell., 2025

UMGCN: Updating multi-graph for graph convolutional networks.
Comput. Electr. Eng., 2025

A multi-hop Shapley-based framework for graph convolutional network node classification explanation.
Appl. Soft Comput., 2025

2024
Improving the Signal-to-Noise Ratio of Axial Displacement Measurements of Microspheres Based on Compound Digital Holography Microscopy Combined with the Reconstruction Centering Method.
Sensors, May, 2024

Purity Skeleton Dynamic Hypergraph Neural Network.
Neurocomputing, 2024

Fuzzy feature factorization machine: Bridging feature interaction, selection, and construction.
Expert Syst. Appl., 2024

Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks.
Eng. Appl. Artif. Intell., 2024

Graph Neural Networks with Direct Reach to Labeled Nodes.
Proceedings of the Rough Sets - International Joint Conference, 2024

2022
An Improved Three-Way K-Means Algorithm by Optimizing Cluster Centers.
Symmetry, 2022

2021
Linear Active Disturbance Rejection Control for Double-Pendulum Overhead Cranes.
IEEE Access, 2021


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