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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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M. C. Toley

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Open access Aug 2026

PRA-TAM: prototype-regularised residual affinity maximisation for unsupervised graph anomaly detection

A novel framework, prototype-regularised residual affinity maximisation (PRA-TAM), for unsupervised graph anomaly detection is proposed, computationally efficient, scalable, and well-suited to real-world graph anomaly detection applications characterised by complex, heterogeneous data distributions.

Wasim Khan, Sujit R. Wakchaure, Girisha R. Bombale et al. · 0 citations

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