Yuanyuan Xu

According to our database, Yuanyuan Xu authored at least 16 papers between 2018 and 2025.

Collaborative distances:

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

2025

UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic Graphs.

Yuanyuan Xu, Wenjie Zhang, Xuemin Lin, Ying Zhang

IEEE Trans. Knowl. Data Eng., July, 2025

Scalable and Effective Temporal Graph Representation Learning With Hyperbolic Geometry.

Yuanyuan Xu, Wenjie Zhang, Xiwei Xu, Binghao Li, Ying Zhang

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Unlocking Multi-Modal Potentials for Dynamic Text-Attributed Graph Representation.

Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Xuemin Lin, Xiwei Xu

CoRR, February, 2025

AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models.

Yuanyuan Xu, Hanchen Wang, Wenjie Zhang, Lexing Xie, Yin Chen, Flora Salim, Ying Zhang, Justin Gooding, Toby Walsh

CoRR, February, 2025

Ranking on Dynamic Graphs: An Effective and Robust Band-Pass Disentangled Approach.

Yingxuan Li, Yuanyuan Xu, Xuemin Lin, Wenjie Zhang, Ying Zhang

Proceedings of the ACM on Web Conference 2025, 2025

Fast and Accurate Temporal Hypergraph Representation for Hyperedge Prediction.

Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Xiwei Xu, Xuemin Lin

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

Learning Accurate Label-Specific Features From Partially Multilabeled Data.

Tiantian Xu, Yuanyuan Xu, Shiyu Yang, Binghao Li, Wenjie Zhang

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

Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs.

Yuhan Wu, Yuanyuan Xu, Wenjie Zhang, Xiwei Xu, Ying Zhang

Proceedings of the ACM on Web Conference 2024, 2024

TimeSGN: Scalable and Effective Temporal Graph Neural Network.

Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Maria E. Orlowska, Xuemin Lin

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Class-aware tiny object recognition over large-scale 3D point clouds.

Jialin Li, Sarp Saydam, Yuanyuan Xu, Boge Liu, Binghao Li, Xuemin Lin, Wenjie Zhang

Neurocomputing, April, 2023

Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach.

Xueyi Wu, Yuanyuan Xu, Wenjie Zhang, Ying Zhang

Proc. VLDB Endow., 2023

Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs.

Yuhan Wu, Yuanyuan Xu, Wenjie Zhang, Ying Zhang

CoRR, 2023

A Holistic Approach for Answering Logical Queries on Knowledge Graphs.

Yuhan Wu, Yuanyuan Xu, Xuemin Lin, Wenjie Zhang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2021

Unsupervised Cross-View Feature Selection on incomplete data.

Yuanyuan Xu, Yu Yin, Jun Wang, Jinmao Wei, Jian Liu, Lina Yao, Wenjie Zhang

Knowl. Based Syst., 2021

2020

To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer.

Yuanyuan Xu, Jun Wang, Jinmao Wei

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Semi-Supervised Multi-Label Feature Selection by Preserving Feature-Label Space Consistency.

Yuanyuan Xu, Jun Wang, Shuai An, Jinmao Wei, Jianhua Ruan

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018