Search Results for author: Leshanshui Yang

Found 3 papers, 1 papers with code

A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs

no code implementations12 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.

Ensemble Learning Graph Anomaly Detection +1

Temporal receptive field in dynamic graph learning: A comprehensive analysis

1 code implementation17 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.

Benchmarking Dynamic Link Prediction +2

Dynamic Graph Representation Learning with Neural Networks: A Survey

no code implementations12 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.

Graph Learning Graph Neural Network +2

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