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Liping Cong

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Jul 2026

Anomaly Detection via Contrastive Learning on Graph using Embedding

A graph embedding-based error detection method via contrastive learning that treats each triple as a hyper-node, enabling data-driven modeling of semantic consistency and integrates a semantic matching-based scoring mechanism with a contrastive learning-based scoring mechanism.

Gaojun Shan, Liping Cong, Xiaohong Sun et al. · 0 citations