Beibei Wang

Orcid: 0000-0003-1272-1596

Affiliations:

Anhui University, School of Computer Science and Technology, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Hefei, China

According to our database¹, Beibei Wang authored at least 19 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

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Bibliography

2025

Graph Spiking Attention Network: Sparsity, Efficiency and Robustness.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

Beyond Graph Model: Reliable VLM Fine-Tuning via Random Graph Adapter.

[BibT_eX]

[DOI]

CoRR, July, 2025

UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification.

[BibT_eX]

[DOI]

CoRR, July, 2025

2024

Learning Graph Attentions via Replicator Dynamics.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

GDCNet: Graph Enrichment Learning via Graph Dropping Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2024

FL-GNNs: Robust Network Representation via Feature Learning Guided Graph Neural Networks.

[BibT_eX]

[DOI]

Beibei Wang

Bo Jiang

Chris Ding

IEEE Trans. Netw. Sci. Eng., 2024

Reliable and Compact Graph Fine-tuning via GraphSparse Prompting.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Edge Representation via Tensor Product Graph Convolutional Representation.

[BibT_eX]

[DOI]

CoRR, 2024

A Unified Graph Selective Prompt Learning for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Generalizing Aggregation Functions in GNNs: Building High Capacity and Robust GNNs via Nonlinear Aggregation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Graph Neural Network Meets Sparse Representation: Graph Sparse Neural Networks via Exclusive Group Lasso.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Sparse norm regularized attribute selection for graph neural networks.

[BibT_eX]

[DOI]

Bo Jiang

Beibei Wang

Bin Luo

Pattern Recognit., May, 2023

Data Representation via Attribute Selection- Propagation Neural Network.

[BibT_eX]

[DOI]

Beibei Wang

Bo Jiang

IEEE Trans. Signal Inf. Process. over Networks, 2023

DropAGG: Robust Graph Neural Networks via Drop Aggregation.

[BibT_eX]

[DOI]

Neural Networks, 2023

2022

GeCNs: Graph Elastic Convolutional Networks for Data Representation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks.

[BibT_eX]

[DOI]

Neural Networks, 2022

Spiking GATs: Learning Graph Attentions via Spiking Neural Network.

[BibT_eX]

[DOI]

Beibei Wang

Bo Jiang

CoRR, 2022

Generalizing Aggregation Functions in GNNs: High-Capacity GNNs via Nonlinear Neighborhood Aggregators.

[BibT_eX]

[DOI]

Beibei Wang

Bo Jiang

CoRR, 2022

2019

Graph Mask Convolutional Network.

[BibT_eX]

[DOI]

CoRR, 2019

Beibei Wang

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