Skip to content
Log in
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

Zhiwen Yang

h-index 0 View on Semantic Scholar

We have 1 of 1 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Aug 2026

CGCLER: Causality-Enhanced Graph Contrastive Learning for Explainable Recommendation

Cusality-enhanced Graph Contrastive Learning for Explainable Recommendation (CGCLER) is proposed, which enables item–explanation joint ranking by distinguishing causal and confounding features at the graph-node representation level and introduces a backdoor-inspired graph contrastive learning objective.

Ying Guan, Zhiwen Yang, Mengtao Duan · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.