Abstract: The study of ensemble learning in knowledge graph embedding (KGE) shows that combining multiple individual KGE models can perform better on knowledge graph completion. However, existing KGE ...
Abstract: Communication efficiency is a major bottleneck in the applications of distributed networks. To address the problem, the problem of quantized distributed optimization has attracted a lot of ...
Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
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