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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Yu Yang

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2 papers indexed here

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#graph neural networks Sep 2026

Temporal graph anomaly detection based on multi-view semi-supervised learning

Multi-View Semi-Supervised Graph Anomaly Detection (MSGAD) is introduced, an innovative framework tailored for detecting anomalies in dynamic graph environments that enhances robustness against noise and unexpected events while improving sensitivity to subtle anomalous signals distributed across time.

Yi-Fan Song, Yu Yang, Kang-Zheng Liu et al. · 0 citations
Conference Open access Sep 2026

PAAL: Pattern-Anchor Alignment for Continual Knowledge Graph Embedding Under Structural Distribution Shift

Continual knowledge graph embedding (CKGE) has gained popularity for managing dynamic knowledge graphs. Unlike general graph continual-learning approaches, CKGE focuses on retaining triple-level knowledge, thereby overcoming the inability of static models to accommodate continuously arriving facts. However, as new fact...

Yue Jian, Lin Li, Kai-Ze Shi et al. · 0 citations

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