Can Xu

According to our database, Can Xu authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

A survey on learning from graphs with heterophily: recent advances and future directions.

Cheng-Hua Gong, Yao Cheng, Jian-Xiang Yu, Can Xu, Cai-Hua Shan, Siqiang Luo, Xiang Li

Frontiers Comput. Sci., February, 2026

Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models.

Can Xu, Lingyong Yan, Jiayi Wu, Haosen Wang, Shuaiqiang Wang, Yuchen Li, Jizhou Huang, Dawei Yin, Xiang Li

CoRR, January, 2026

2025

A Structure Redefined Graph Pretraining With Contrastive Prompting for Fake News Detection.

Haoseng Wang, Pan Tang, Linghong Zhou, Chenglong Shi, Can Xu, Pengfei Zheng, Surong Yan, Chunqi Wu

IEEE Trans. Comput. Soc. Syst., October, 2025

Homophily-aware Heterogeneous Graph Contrastive Learning.

Haosen Wang, Chenglong Shi, Can Xu, Surong Yan, Pan Tang

CoRR, January, 2025

Enhancing Homophily in Heterogeneous Graph Contrastive Learning via Connection Strength and Multi-view Self-Expression.

Haosen Wang, Chenglong Shi, Can Xu, Surong Yan, Rong Xie, Pan Tang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph.

Yibo Zhao, Jiapeng Zhu, Can Xu, Yao Liu, Xiang Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Diffusion-Based Graph Generative Methods.

Hongyang Chen, Can Xu, Lingyu Zheng, Qiang Zhang, Xuemin Lin

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

Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph.

Yibo Zhao, Jiapeng Zhu, Can Xu, Xiang Li

CoRR, 2024

Improving Graph Out-of-distribution Generalization on Real-world Data.

Can Xu, Yao Cheng, Jianxiang Yu, Haosen Wang, Jingsong Lv, Xiang Li

CoRR, 2024

Towards Learning from Graphs with Heterophily: Progress and Future.

Chenghua Gong, Yao Cheng, Jianxiang Yu, Can Xu, Caihua Shan, Siqiang Luo, Xiang Li

CoRR, 2024

Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering.

Haosen Wang, Can Xu, Chenglong Shi, Pengfei Zheng, Shiming Zhang, Minhao Cheng, Hongyang Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Training-free Multi-objective Diffusion Model for 3D Molecule Generation.

Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation.

Can Xu, Haosen Wang, Weigang Wang, Pengfei Zheng, Hongyang Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A fairness-aware graph contrastive learning recommender framework for social tagging systems.

Can Xu, Yin Zhang, Hongyang Chen, Ligang Dong, Weigang Wang

Inf. Sci., September, 2023

2022

LFGCF: Light Folksonomy Graph Collaborative Filtering for Tag-Aware Recommendation.

Yin Zhang, Can Xu, XianJun Wu, Yan Zhang, Ligang Dong, Weigang Wang

CoRR, 2022