Machine learningDeep learning / NLP / CV
多模态图神经网络
多模态图神经网络（MM-GNN）将来自文本、图像和结构化特征等多种模态的数据整合到统一的图结构中，并应用基于图的消息传递机制来学习联合表示。它能够对异构数据源进行关系推理，超越了单模态或简单拼接方法所能捕捉的能力。
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来源
- Kipf, T. N., & Welling, M. (2017). Semi-Supervised Classification with Graph Convolutional Networks. International Conference on Learning Representations (ICLR). link ↗
- Zhang, Z., Lin, H., & Zhao, X. (2020). Multimodal Graph Neural Network for Knowledge-Based Visual Question Answering. Information Processing & Management, 57(6), 102382. link ↗
如何引用本页
ScholarGate. (2026, June 3). Multimodal Graph Neural Network (MM-GNN). ScholarGate. https://scholargate.app/zh/deep-learning/multimodal-graph-neural-network
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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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