统一图形对比学习通过图形信息增强

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Updated: Sep 16, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

692

Ziyan Zhang, Bo Jiang, Jin Tang

    IEEE transactions on pattern analysis and machine intelligence
    |July 7, 2025
    PubMed
    概括

    本研究介绍了图形信息增强 (GMA),这是一种在自我监督学习中增强图形数据增强的通用方法. 通过对比学习,GMA提供了一种更有效的方法来训练图形神经网络 (GNN).

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