Abstract: Graph anomaly detection attracts considerable interest across a variety of application domains, including fraud detection within social networks, identifying money laundering activities in ...
Abstract: This study explores the integration of a domainspecific knowledge graph (KG) into a Retrieval-Augmented Generation (RAG) pipeline to improve the retrieval of medical information. We ...
This is a PyTorch implementation of the GraphCTA algorithm, which tries to address the domain adaptation problem without accessing the labelled source graph. It performs model adaptation and graph ...
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