no code implementations • 12 Aug 2024 • Xiaohua Lu, Leshanshui Yang
Our approach significantly outperforms the baseline on the ISWC 2024 Dynamic Knowledge Graph Anomaly Detection dataset, providing a robust solution for anomaly detection in dynamic complex data.
1 code implementation • 17 Jul 2024 • Yannis Karmim, Leshanshui Yang, Raphaël Fournier S'Niehotta, Clément Chatelain, Sébastien Adam, Nicolas Thome
Dynamic link prediction is a critical task in the analysis of evolving networks, with applications ranging from recommender systems to economic exchanges.
no code implementations • 12 Apr 2023 • Leshanshui Yang, Sébastien Adam, Clément Chatelain
In this research area, Dynamic Graph Neural Network (DGNN) has became the state of the art approach and plethora of models have been proposed in the very recent years.