GLADformer: A Mixed Perspective for Graph-level Anomaly Detection
F Xu, N Wang, H Wu, X Wen, D Zhang, S Lu… - arXiv preprint arXiv …, 2024 - arxiv.org
Graph-Level Anomaly Detection (GLAD) aims to distinguish anomalous graphs within a
graph dataset. However, current methods are constrained by their receptive fields, struggling …
graph dataset. However, current methods are constrained by their receptive fields, struggling …
LTRDetector: Exploring Long-Term Relationship for Advanced Persistent Threats Detection
X Liu, F Xu, N Wang, Q Zhao, D Zhang, X Zhao… - arXiv preprint arXiv …, 2024 - arxiv.org
Advanced Persistent Threat (APT) is challenging to detect due to prolonged duration,
infrequent occurrence, and adept concealment techniques. Existing approaches primarily …
infrequent occurrence, and adept concealment techniques. Existing approaches primarily …