图中图 (GiG):学习可解释的非欧几里德领域的隐形图,用于生物和医疗保健应用
Kamilia Zaripova1, Luca Cosmo2, Anees Kazi3
1Department of Computer Science, Technical University of Munich, Munich, Germany.
Medical image analysis
|June 1, 2023
概括
本研究介绍了Graph-in-Graph (GiG),这是一种用于医疗保健应用的新型神经网络架构,例如蛋白质分类. GiG学习图形数据之间的潜在关系,改进下游任务,并在患者和分子网络中提供新的可解释性.
科学领域:
- 图形神经网络的神经网络
- 医疗保健中的机器学习
- 生物信息学是一种生物信息学.
背景情况:
- 在医疗保健中,图形对于分析复杂的非欧几里德数据至关重要,例如分子和大脑连接组.
- 现有的方法从纳入数据样本之间的关系中受益,作为下游任务的调整器.
- 这些样本间的关系可以用图形结构来建模.
研究的目的:
- 提出Graph-in-Graph (GiG),一种用于医疗保健中的图形值数据的神经网络架构.
- 学习数据样本的内部图形结构和它们之间的潜在关系.
- 为了增强下游任务,如蛋白质分类和脑成像分析.
主要方法:
- 开发了图形中的图形 (GiG) 神经网络架构.
- 实现的端到端学习的消息传递在内部和跨图形值输入样本.
- 引入了一个节点度分布损失 (NDDL) 来规范学习的潜在图形结构.
主要成果:
- 在医疗保健应用中,GiG架构有效地利用图形表示和潜在关系.
- 节点级分布损失 (NDDL) 显著提高了下游任务的性能.
- 学习的潜伏图提供可解释的患者群体模型或分子集群网络.
结论:
- GiG提供了一个强大的框架来分析图形结构化的医疗保健数据.
- 隐藏关系学习和规范化的整合提高了模型的性能和可解释性.
- 这种方法有助于在复杂的生物和医学数据集中发现知识.
更多相关视频
05:47Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
348
04:48Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
Published on: November 30, 2022
2.8K
相关概念视频
Vector Algebra: Graphical Method
12.5K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
12.5K
Ogive Graph
5.7K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
5.7K
Graphical and Analytic Representation of Sinusoids
437
Analyzing two sinusoidal voltages with equal amplitude and period but different phases on an oscilloscope, an instrument used to display and analyze waveforms, involves a three-step process.
The first step is measuring the peak-to-peak value, which is twice the amplitude of the sinusoid. This provides information about the maximum voltage swing of the waveform.
Secondly, the period and angular frequency are determined. The period is the time taken for one complete cycle of the waveform, while...
The first step is measuring the peak-to-peak value, which is twice the amplitude of the sinusoid. This provides information about the maximum voltage swing of the waveform.
Secondly, the period and angular frequency are determined. The period is the time taken for one complete cycle of the waveform, while...
437
Bar Graph
16.7K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
16.7K
Time-Series Graph
4.4K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
4.4K
Multiple Bar Graph
5.3K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
5.3K
