概览

图先验时序异常检测示意图，以原生可编辑 PowerPoint 为主，提供 SVG 与 draw.io 导出。

文件与编辑

下载包包含1页PPTX、SVG、draw.io、两张预览、说明及来源署名。PPTX有547个原生形状，未嵌入源照片、视频或GUI；相关示例已换为原创矢量占位。方法专名已泛化，功能标签保留。SVG与draw.io可能需要少量位置或字体调整。

适用现有Figkit使用条款，不扩大许可范围；公开使用须保留原论文署名。

来源与许可

Adapted diagram, not an official paper asset. Source: Graph Foundation Models Can Become Effective Multivariate Time Series Anomaly Detectors Authors: Hu, Zhuangyan; Liang, Zhuoxuan; Li, Wei; Jia, Xiaohua; Youssef, Moustafa; Helal, Sumi https://arxiv.org/abs/2611.06441 Figure 2 License: Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ Changes: independently rebuilt as native editable shapes; method names generalized; all photo/video/GUI/data-derived imagery replaced with original vector placeholders; typography standardized to Times New Roman. Attribution is required for public use. Original image appears only in internal compare.png for review, not in the editable deliverables.