5 citations · 5 across the 1 of their papers we have counts for
3 papers
A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs
Xiaohua Lu, Leshanshui Yang
In this paper, we explore different approaches to anomaly detection on dynamic knowledge graphs, specifically in a Micro-services environment for Kubernetes applications. Our appro…
Temporal receptive field in dynamic graph learning: A comprehensive analysis
Yannis Karmim, Leshanshui Yang, Raphaël Fournier S'Niehotta +3
Dynamic link prediction is a critical task in the analysis of evolving networks, with applications ranging from recommender systems to economic exchanges. However, the concept of t…
Dynamic Graph Representation Learning with Neural Networks: A Survey
Leshanshui Yang, Sébastien Adam, Clément Chatelain
In recent years, Dynamic Graph (DG) representations have been increasingly used for modeling dynamic systems due to their ability to integrate both topological and temporal informa…