GMCoT: a graph-augmented multimodal chain-of-thought reasoning framework for multi-label zero-shot learning
Regular Papers|Updated:2026-01-12
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GMCoT: a graph-augmented multimodal chain-of-thought reasoning framework for multi-label zero-shot learning
Enhanced Publication
GMCoT:面向多标签零样本学习的图增强多模态思维链推理框架
“In the field of multi-label zero-shot learning, a graph-augmented multimodal chain-of-thought reasoning approach is proposed. Expert established the GMCoT system, which provides solutions to solve the challenges in multi-label prediction.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 12, Pages: 2623-2637(2025)
Affiliations:
1.State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou 310027, China
2.Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, Zhejiang University, Hangzhou 310027, China
3.School of Software Technology, Zhejiang University, Hangzhou 310027, China
Xiang WEN, Haobo WANG, Ke CHEN, et al. GMCoT: a graph-augmented multimodal chain-of-thought reasoning framework for multi-label zero-shot learning[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(12): 2623-2637.
DOI:
Xiang WEN, Haobo WANG, Ke CHEN, et al. GMCoT: a graph-augmented multimodal chain-of-thought reasoning framework for multi-label zero-shot learning[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(12): 2623-2637. DOI: 10.1631/FITEE.2500429.
GMCoT: a graph-augmented multimodal chain-of-thought reasoning framework for multi-label zero-shot learningEnhanced Publication