2026

AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning
AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning

Yuanfu Sun*, Kang Li*, Dongzhe Fan, Jiajin Liu, Qiaoyu Tan

Annual Meeting of the Association for Computational Linguistics (ACL) 2026

[Paper] [Code]

AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning

Yuanfu Sun*, Kang Li*, Dongzhe Fan, Jiajin Liu, Qiaoyu Tan

Annual Meeting of the Association for Computational Linguistics (ACL) 2026

[Paper] [Code]

Chapter 9. Recommender Systems for STEM Education Research
Chapter 9. Recommender Systems for STEM Education Research

Yuanfu Sun, Qiaoyu Tan

Artificial Intelligence for STEM Education Research by Xiaoming Zhai and Gyeonggeon Lee (Springer Nature) 2026

[Book] [Chapter]

Chapter 9. Recommender Systems for STEM Education Research

Yuanfu Sun, Qiaoyu Tan

Artificial Intelligence for STEM Education Research by Xiaoming Zhai and Gyeonggeon Lee (Springer Nature) 2026

[Book] [Chapter]

Mario: Multimodal Graph Reasoning with Large Language Models
Mario: Multimodal Graph Reasoning with Large Language Models

Yuanfu Sun*, Kang Li*, Pengkang Guo, Jiajin Liu, Qiaoyu Tan

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

[Paper] [Code]

Mario: Multimodal Graph Reasoning with Large Language Models

Yuanfu Sun*, Kang Li*, Pengkang Guo, Jiajin Liu, Qiaoyu Tan

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

[Paper] [Code]

GraphSearch: Agentic Search-Augmented Reasoning for Zero-Shot Graph Learning
GraphSearch: Agentic Search-Augmented Reasoning for Zero-Shot Graph Learning

Jiajin Liu*, Yuanfu Sun*, Dongzhe Fan, Qiaoyu Tan

Under review. 2026

[Paper]

GraphSearch: Agentic Search-Augmented Reasoning for Zero-Shot Graph Learning

Jiajin Liu*, Yuanfu Sun*, Dongzhe Fan, Qiaoyu Tan

Under review. 2026

[Paper]

2025

TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks
TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks

Qihai Zhang*, Xinyue Sheng*, Yuanfu Sun, Qiaoyu Tan

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2025

[Paper] [Code]

TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks

Qihai Zhang*, Xinyue Sheng*, Yuanfu Sun, Qiaoyu Tan

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2025

[Paper] [Code]

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design
GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design

Yuanfu Sun*, Zhengnan Ma*, Yi Fang, Jing Ma, Qiaoyu Tan

Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL) 2025

[Paper]

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design

Yuanfu Sun*, Zhengnan Ma*, Yi Fang, Jing Ma, Qiaoyu Tan

Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL) 2025

[Paper]