DyFiLM:一个处理动态图的分布转移的框架
Fuyuan Ma1, Yuhan Wang2, Shixuan Ma3
1College of Artificial Intelligence, Jilin University, Changchun, Jilin Province, 130012, China.
概括
动态图表表示学习模型现在可以适应变化的数据分布. 我们的新型动态特征智能线性调制 (DyFiLM) 框架提高了演变图的预测准确性.
科学领域:
- 机器学习
- 图形神经网络
- 动态系统
背景情况:
- 动态图表可以模拟现实世界的发展系统.
- 目前的方法假设静态进化规律, 失败的分布转移.
- 适应不断变化的图形模式对于准确的预测至关重要.
研究的目的:
- 引入一个学习学习的框架,动态特征智能线性调制 (DyFiLM).
- 允许表示学习模型适应不断变化的图形数据分布.
- 增强交叉分布的通用化能力.
主要方法:
- DyFiLM使用超模来调节核心表示学习模型.
- 超级模型根据时间变化的输入数据调整学习模型.
- 在分布转移的环境中共同培训促进了适应能力.
主要成果:
- DyFiLM 显著改善了三种不同的基本模型的性能.
- 在四个数据集上进行了广泛的实验证实了该框架的有效性.
- 这种方法成功地捕捉并表达了多样化的时间进化模式.
结论:
- DyFiLM提供了一个强大的解决方案,用于在分布转移下学习动态图表.
- 与现有方法相比,该框架显示出更高的性能.
- DyFiLM提高了动态图模型的适应性和通用性.
相关概念视频
Distribution and Dispersion
22.4K
To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
22.4K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
124
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
124
Secondary Distribution
130
Secondary distribution systems provide electrical energy at the utilization voltage levels from distribution transformers to customer meters. Typical secondary voltages in the United States include 120/240 V for residential use, 208Y/120 V for residential and commercial use, and 480Y/277 V for industrial and high-rise commercial use.
In residential areas, 120/240 V single-phase, three-wire service is commonly used for lighting, outlets, and large appliances. Urban areas with high-density loads...
In residential areas, 120/240 V single-phase, three-wire service is commonly used for lighting, outlets, and large appliances. Urban areas with high-density loads...
130
Transformers in Distribution System
156
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
156
Sequence Networks of Rotating Machines
140
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
140
F Distribution
3.8K
The F distribution was named after Sir Ronald Fisher, an English statistician. The F statistic is a ratio (a fraction) with two sets of degrees of freedom; one for the numerator and one for the denominator. The F distribution is derived from the Student's t distribution. The values of the F distribution are squares of the corresponding values of the t distribution. One-Way ANOVA expands the t test for comparing more than two groups. The scope of that derivation is beyond the level of this...
3.8K


