Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection
机构 * School of Computer Science and Technology, Xi'an Jiaotong University(计算机科学与技术学院,西安交通大学) ; Department of Electrical and Computer Engineering, University of Virginia(电气与计算机工程系,弗吉尼亚大学) ; Saw Swee Hock School of Public Health, National University of Singapore(Saw Swee Hock 公共卫生学院,新加坡国立大学) ; China Telecom Corporation Ltd. Shaanxi Branch(中国电信股份有限公司陕西分公司) ; School of Distance Education, Xi'an Jiaotong University(继续教育学院,西安交通大学)
Comments Accepted by ACM Multimedia 2025 (MM '25)