本文贡献了一组在架构层面具有重要意义的 MLOps 集成与部署指南（共 25 条），分为五类，并阐述其对整体系统架构的影响。This work contributes a collection of 25 architecturally significant MLOps guidelines for model integration and deployment, organized into five categories, and describes their impact on the overall system architecture.
论文
3 张论文卡片 · 工程化 · 综述
条目 E-NF2：MLOps 架构指南 — 25 条模型集成/部署规范（灰色文献综述）
⑤ MLOps系统综述（arXiv:2604.16371）
⑤ MLOps系统综述（arXiv:2604.16371）
对聚焦MLOps工具的学术文献进行系统综述，揭示其功能、范围及其旨在解决的挑战，并突出真实MLOps pipeline中各工具间互操作性的重要性。A systematic review of the academic literature focused on MLOps tools is conducted to reveal their function, scope, and the challenges they are designed to address and highlight the importance of interoperability across MLOps tools in real-world MLOps pipelines.
Graph Neural Networks: A Review of Methods and Applications
图神经网络：方法与应用综述
对现有图神经网络模型进行了详细综述，系统性地归纳了其应用，并提出了四个有待解决的未来研究方向A detailed review over existing graph neural network models is provided, systematically categorize the applications, and four open problems for future research are proposed.