Yeyu Yan

According to our database, Yeyu Yan authored at least 18 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Revisiting General Map Search via Generative Point-of-Interest Retrieval.

Dong Chen, Shuai Zheng, Haoyang Shao, Hongsheng Wu, Muhao Xu, Yeyu Yan, Ruifang Li, Zhenfeng Zhu

CoRR, May, 2026

Adaptive Graph Filtering Neural Network for Graph Anomaly Detection.

Zhizhe Liu, Shuai Zheng, Yeyu Yan, Zhenfeng Zhu, Yao Zhao

IEEE Trans. Netw. Sci. Eng., 2026

Efficiently Harmonizing Information Sharing for Heterogeneous Graph Contrastive Learning.

Xiangkai Zhu, Chao Li, Yeyu Yan, Jinhu Fu, Zhongying Zhao, Qingtian Zeng

Pattern Recognit., 2026

Mitigating Dynamic Graph Distribution Shifts via Mixture of Variational Experts.

Qianyu Song, Chao Li, Yeyu Yan, Hui Zhou, Zhongying Zhao, Qingtian Zeng

Proceedings of the ACM Web Conference 2026, 2026

Stage-Aware Graph Contrastive Learning with Node-oriented Mixture of Experts.

Xiangkai Zhu, Yeyu Yan, Saiqin Long, Chao Li, Guanwen Chen, Longsheng Su

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Dynamic Graph Condensation.

Dong Chen, Shuai Zheng, Yeyu Yan, Muhao Xu, Zhenfeng Zhu, Yao Zhao, Kunlun He

CoRR, June, 2025

OpenFGL: A Comprehensive Benchmark for Federated Graph Learning.

Xunkai Li, Yinlin Zhu, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Ronghua Li, Guoren Wang

Proc. VLDB Endow., January, 2025

NodeHGAE: Node-oriented heterogeneous graph autoencoder.

Xiangkai Zhu, Chao Li, Yeyu Yan, Zhongying Zhao, Hua Duan, Qingtian Zeng

Inf. Sci., 2025

Towards Pre-trained Graph Condensation via Optimal Transport.

Yeyu Yan, Shuai Zheng, Wenjun Hui, Xiangkai Zhu, Dong Chen, Zhenfeng Zhu, Yao Zhao, Kunlun He

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MPPQ: Enhancing Post-Training Quantization for LLMs via Mixed Supervision, Proxy Rounding, and Pre-Searching.

Mingrun Wei, Yeyu Yan, Dong Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

A Fast and Robust Attention-Free Heterogeneous Graph Convolutional Network.

Yeyu Yan, Zhongying Zhao, Zhan Yang, Yanwei Yu, Chao Li

IEEE Trans. Big Data, October, 2024

MHGNN: Multi-view fusion based Heterogeneous Graph Neural Network.

Chao Li, Xiangkai Zhu, Yeyu Yan, Zhongying Zhao, Lingtao Su, Qingtian Zeng

Appl. Intell., September, 2024

Higher order heterogeneous graph neural network based on node attribute enhancement.

Chao Li, Jinhu Fu, Yeyu Yan, Zhongying Zhao, Qingtian Zeng

Expert Syst. Appl., March, 2024

OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning.

Xunkai Li, Yinlin Zhu, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang

CoRR, 2024

2023

HetGNN-SF: Self-supervised learning on heterogeneous graph neural network via semantic strength and feature similarity.

Chao Li, Xinming Liu, Yeyu Yan, Zhongying Zhao, Qingtian Zeng

Appl. Intell., October, 2023

OSGNN: Original graph and Subgraph aggregated Graph Neural Network.

Yeyu Yan, Chao Li, Yanwei Yu, Xiangju Li, Zhongying Zhao

Expert Syst. Appl., September, 2023

HetReGAT-FC: Heterogeneous Residual Graph Attention Network via Feature Completion.

Chao Li, Yeyu Yan, Jinhu Fu, Zhongying Zhao, Qingtian Zeng

Inf. Sci., 2023

2021

HEPre: Click frequency prediction of applications based on heterogeneous information network embedding.

Chao Li, Yeyu Yan, Zhongying Zhao, Jun Luo, Qingtian Zeng

J. Intell. Fuzzy Syst., 2021