Subgraph2vec: A random walk-based algorithm for embedding knowledge graphs

arXiv:2405.02240v1 Announce Type: new
Abstract: Graph is an important data representation which occurs naturally in the real world applications \cite{goyal2018graph}. Therefore, analyzing graphs provides users with better insights in different areas such as anomaly detection \cite{ma2021comprehensive}, decision making \cite{fan2023graph}, clustering \cite{tsitsulin2023graph}, classification \cite{wang2021mixup} and etc. However, most of these methods require high levels of computational time and space. We can use other ways like embedding to reduce these costs. Knowledge graph (KG) embedding is a technique that aims to achieve …

abstract algorithm anomaly anomaly detection applications arxiv classification clustering cs.lg data decision decision making detection embedding etc graph graphs however important data insights knowledge knowledge graphs making random representation type world