Abstract: As interactions among elements in applications such as social networks, transaction networks, and IP-IP networks dynamically evolve, anomaly detection in dynamic graphs to mitigate ...
Federated graph learning advances the field of federated learning by enabling privacy-preserving collaborative training on distributed graph data. Conventional federated graph learning methods excel ...
Abstract: Change point detection is crucial for identifying state transitions and anomalies in dynamic systems, with applications in network security, health care, and social network analysis. Dynamic ...
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