Yiming Xu

According to our database, Yiming Xu authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

Generalist Graph Anomaly Detection via Prototype-Based Distillation.

Yiming Xu, Zihan Chen, Zhen Peng, Song Wang, Bin Shi, Bo Dong, Chao Shen

CoRR, May, 2026

2025

TED: related party transaction guided tax evasion detection on heterogeneous graph.

Yiming Xu, Bin Shi, Bo Dong, Jiaxiang Wang, Hua Wei, Qinghua Zheng

Data Min. Knowl. Discov., March, 2025

A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models.

Qika Lin, Zhen Peng, Kaize Shi, Kai He, Yiming Xu, Erik Cambria, Mengling Feng

CoRR, February, 2025

Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection.

Yiming Xu, Jiarun Chen, Zhen Peng, Zihan Chen, Qika Lin, Lan Ma, Bin Shi, Bo Dong

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning.

Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Out-of-Distribution Generalization on Graphs via Progressive Inference.

Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective.

Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Learning dynamic graph representations through timespan view contrasts.

Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong

Neural Networks, 2024

2023

An edge feature aware heterogeneous graph neural network model to support tax evasion detection.

Bin Shi, Bo Dong, Yiming Xu, Jiaxiang Wang, Yunfan Wang, Qinghua Zheng

Expert Syst. Appl., 2023

APAM: Adaptive Pre-Training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-Tailed Learning.

Bo Dong, Yiming Xu, Sunyi Chi, Zhenyu Shi, Zheng Du

Proceedings of the International Conference on Machine Learning and Applications, 2023

CLDG: Contrastive Learning on Dynamic Graphs.

Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng

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

DYGL: A Unified Benchmark and Library for Dynamic Graph.

Teng Ma, Bin Shi, Yiming Xu, Zihan Zhao, Siqi Liang, Bo Dong

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023