Yueyang Pi

Orcid: 0009-0006-6147-3591

According to our database1, Yueyang Pi authored at least 16 papers between 2024 and 2026.

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

Timeline

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Bibliography

2026
Implicit graph neural networks with flexible propagation operators.
Neural Networks, 2026

2025
Multi-Channel Equilibrium Graph Neural Network for Multi-View Semi-Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

Inhomogeneous Diffusion-Induced Network for Multiview Semi-Supervised Classification.
IEEE Trans. Neural Networks Learn. Syst., May, 2025

Unsupervised Projected Sample Selector for Active Learning.
IEEE Trans. Big Data, April, 2025

Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors.
CoRR, April, 2025

Information-controlled graph convolutional network for multi-view semi-supervised classification.
Neural Networks, 2025

Order-flexible graph attention network for multi-view subspace clustering.
Knowl. Based Syst., 2025

Efficient multi-view graph condensation via gradient-flow induced graph convolutional networks.
Neurocomputing, 2025

Efficient multi-view graph convolutional networks via local aggregation and global propagation.
Expert Syst. Appl., 2025

Boosting Graph Convolution with Disparity-induced Structural Refinement.
Proceedings of the ACM on Web Conference 2025, 2025

Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024
Deep Masked Graph Node Clustering.
IEEE Trans. Comput. Soc. Syst., December, 2024

UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity.
IEEE Trans. Image Process., 2024

Adaptive-propagating heterophilous graph convolutional network.
Knowl. Based Syst., 2024

Adaptive graph active learning with mutual information via policy learning.
Expert Syst. Appl., 2024

SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation.
Proceedings of the IEEE INFOCOM 2024, 2024


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