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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

Akash Choudhuri

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Book Open access Aug 2026

Learning Robust Hypergraph Embeddings for Distribution-Free Uncertainty Quantification

Contrastive Conformal HGNN (CCF-HGNN) is proposed that accounts for uncertainty in hypergraph-based models by explicitly regularizing on the hypergraph structure for guaranteed and robust uncertainty estimates.

Akash Choudhuri, B. Adhikari · 0 citations
Book Open access Aug 2026

Learning Robust Hypergraph Embeddings for Distribution-Free Uncertainty Quantification

Hypergraph representation learning has gained immense popularity over the last few years due to its applications in real-world domains like social network analysis, recommendation systems, biological network modeling, and knowledge graphs. However, hypergraph neural networks (HGNNs) lack rigorous uncertainty estimates,...

Akash Choudhuri, Bijaya Adhikari · 0 citations

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