自动FDP:用于多标准图形绘制的基于力量的自动模型选择
IEEE transactions on visualization and computer graphics
|November 12, 2025
概括
本研究介绍了基于标准的基于力的图表布局技术,整合了基于物理和以可读性为重点的方法. 新的框架产生了可适应用户需求的优质图形可视化.
科学领域:
- 计算机科学 计算机科学
- 图形理论 图形理论
- 数据可视化 数据可视化
背景情况:
- 传统的图表布局方法依赖于物理模拟或可读性标准的直接优化.
- 在系统整合这两种不同的方法以增强图形可视化方面存在差距.
研究的目的:
- 开发和评估基于标准的基于力图的图表布局技术.
- 提出一个一般框架,根据用户定义的可读性标准,自动构建基于力模型的模型.
主要方法:
- 开发了一个新的框架,将基于力量的模型与用户指定的可读性标准 (例如,最小化边缘交叉) 集成在一起.
- 能够重复使用类似图表中的模型,并对子图表上的布局进行改进.
- 与现有的布局技术进行了定量比较,并对图形探索进行了案例研究.
主要成果:
- 与传统技术相比,提出的基于标准的基于力方法产生了优越的图表布局.
- 该框架表现出比基于深度学习的图表布局方法更好的概括能力.
- 有效地根据特定的图形结构和用户要求量身定制的基于力量的模型.
结论:
- 基于标准的基于力图布局为图形可视化提供了强大而灵活的方法.
- 拟议的框架提高了布局质量和适应性,优于现有方法.
- 这种整合为自动图表布局的未来研究提供了一个有希望的方向.
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