Abstract: Multi-task learning (MTL) is a standard learning paradigm in machine learning. The central idea of MTL is to capture the shared knowledge among multiple tasks for mitigating the problem of ...
According to @godofprompt, graph databases offer superior efficiency for dynamic updates in AI-powered knowledge bases compared to traditional vector search methods. When using vector search, any ...
Abstract: Graph-level anomaly detection (GLAD) aims to identify graphs that significantly deviate from others in a graph dataset. Existing methods predominantly rely on standard Graph Neural Networks ...
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