HeteEdgeWalk:一种异质边缘内存随机步行,用于异质信息网络嵌入
Zhenpeng Liu1, Shengcong Zhang2, Jialiang Zhang2
1Information Technology Center, Hebei University, Baoding 071002, China.
Entropy (Basel, Switzerland)
|July 29, 2023
概括
本研究介绍了HeteEdgeWalk,这是一种用于嵌入异质信息网络 (HIN) 的新方法,可以绕过元路径. 它通过有效地捕捉复杂的网络结构而增强节点分类和集群,而无需域专业知识.
科学领域:
- 图形表示学习学习学习图形表示学习
- 网络科学 网络科学
- 数据挖掘 数据挖掘
背景情况:
- 传统的异质信息网络 (HIN) 嵌入方法依赖于元路径来引导随机步行,旨在减轻对高阶节点的偏差.
- 基于元路径的方法的性能在很大程度上取决于预定义的元路径的适用性,这往往需要领域专业知识,并努力捕捉复杂的HIN结构.
- 现有的方法可以忽略在所选择的元路径中未指定的有价值的异质信息.
研究的目的:
- 提出HeteEdgeWalk,一种新的无元路径的HIN嵌入方法.
- 制定一个动态调整的双向边缘采样步行策略,以实现更平衡,更全面的网络结构采样.
- 评估HeteEdgeWalk在从HIN获取语义信息以执行下游任务方面的有效性.
主要方法:
- 介绍了HeteEdgeWalk,这是一种避免使用元路径嵌入HIN的方法.
- 设计了一个动态调整的双向边缘采样步行策略.
- 集成边缘采样和最近选择的边缘类型的存储,以改善网络采样.
主要成果:
- 与基线方法相比,节点分类实验显示出最大的性能改善为2%.
- 集群实验至少比基线提高了0.6%的性能.
- 证明了该方法在从复杂的HIN中有效捕获语义信息方面的优势.
结论:
- HeteEdgeWalk为HIN嵌入提供了超级路径引导方法的优质替代方案.
- 拟议的边缘采样策略有效地解决了HIN中传统随机走路的局限性.
- 没有元路径的方法简化了这个过程,并增强了HINs的表示学习.
相关概念视频
Random Variables
12.4K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
12.4K
Randomized Experiments
7.0K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Simple randomization
Simple...
7.0K
Understanding Memory
542
Memory is the retention of information or experiences over time, facilitated through three main processes: encoding, storage, and retrieval. Encoding is the process of inputting information into the memory system. For instance, when listening to a lecture, watching a play, reading a book, or having a conversation, the brain is actively encoding information. This initial stage involves transforming sensory input into a form that can be processed and stored by the brain. Various factors, such as...
542
Position-effect Variegation
6.4K
In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
6.4K
Woodward–Hoffmann Selection Rules and Microscopic Reversibility
3.1K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.1K
Random Sampling Method
11.2K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
11.2K


