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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

Author

Hieu M. Vu

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Book Open access Aug 2026

CATGX: Causal-Aware Temporal Graph Explanation via Scalable Motif Sampling and Adjustment

Experiments demonstrate that CATGX strikes a good balance to generate explanations that are faithful, grounded and confounder-aware, and outperform existing TGNN explainers in efficiency with 83x speed up.

Mingjian Lu, Hieu M. Vu, Vu K Le et al. · 0 citations
Book Open access Aug 2026

CATGX: Causal-Aware Temporal Graph Explanation via Scalable Motif Sampling and Adjustment

Interpreting predictions of temporal graph neural networks (TGNNs) is challenging: structural patterns are entangled with temporal dynamics and node-level activity. Existing methods often overemphasize frequent or recent interactions, producing explanations that conflate structural influence with temporal or behavioral...

Mingjian Lu, Hieu M. Vu, Vu K Le et al. · 0 citations

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