泽宇为第一作者,留学生Javeed和本科组员刘枭等参与的研究工作《“大脑连接结构阐释和知识蒸馏的图级异常检测”/Graph-level Anomaly Detection of Brain Connectivity with Structure Interpretation and Knowledge Distillation》被BIBM接收。感谢何老师联合指导。 论文摘要: Graph-level anomaly detection is a critical yet underexplored task, especially in the neuro-imaging domain the early identification of abnormal brain patterns is vital. In this paper, we propose KDGAE, a lightweight and generalizable graph autoencoder framework based on knowledge distillation. The architectureContinueContinue reading “Congrats, 本科小朋友研究工作被BIBM2025接收”