Abstract: Anomaly detection in attribute networks is utilized to discover patterns of individuals or groups that deviate from the majority, and is widely used in areas such as e-commerce and social ...
David joined Raw Story in 2023 after nearly a decade of writing about the legal industry for Bloomberg Law. He is also a co-founder and a commissioning editor at Hypatia Press, a publisher that ...
Abstract: Graph neural networks (GNNs) are specifically designed for graph-structured data and have gained significant attention. However, training GNN on large-scale graphs remains challenging due to ...
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