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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

Daojian Zeng

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Open access Aug 2026

Prompt Learning for Textual Heterogeneous Information Networks

This work is among the first to introduce and exploit the idea of prompt learning to align HIN features and textual features, and is composed of a text encoder and a graph encoder and uses contrastive learning to align and fuse the graph–text pair.

Yang Fang, Xiang Zhao, Dao-Jian Zeng et al. · 0 citations
Conference Open access 2026

Hetero-Designer: Automated Design of Multi-Agent Systems with Heterogeneous LLMs

Hetero-Designer is proposed, a novel pipeline that efficiently encodes intricate dependencies among queries, LLMs and roles through a novel Binary-Star Transformer and constructs Hetero-MAS in an autoregressive graph generation process.

Zhiheng Zhang, Yuanzhe Zhang, Bohan Yu et al. · 0 citations

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