Yunhui Liu

Orcid: 0009-0006-3337-0886

Affiliations:

Nanjing University, Software Institute, Nanjing, China

According to our database¹, Yunhui Liu authored at least 10 papers between 2024 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, April, 2025

Norm Augmented Graph AutoEncoders for Link Prediction.

[BibT_eX]

[DOI]

CoRR, February, 2025

Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-wise Multi-View Ensemble Distillation.

[BibT_eX]

[DOI]

CoRR, February, 2025

Negative-Free Self-Supervised Gaussian Embedding of Graphs.

[BibT_eX]

[DOI]

Neural Networks, 2025

Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Norm Augmented Graph AutoEncoders for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Reliable Node Similarity Matrix Guided Contrastive Graph Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference.

[BibT_eX]

[DOI]

CoRR, 2024

Bootstrap Latents of Nodes and Neighbors for Graph Self-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Yunhui Liu

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