GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model
机构 * School of Computer Science and Engineering(计算机科学与工程学院) ; Sun Yat-Sen University(中山大学) ; Department of Computer Science and Technology(计算机科学与技术系) ; Tsinghua University(清华大学) ; Robert Bosch GmbH(博世集团)
Comments Accepted at KDD 2025