English(EN) Text-attributed Graph Condensation via Text Selection and Attribute Matching

新方法压缩文本属性图，提高准确性

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-02 16:20

研究人员开发了TAGSAM，一种用于压缩文本属性图（TAGs）以降低计算成本的新方法。TAGSAM采用子图文本选择和属性相似性匹配来压缩文本描述和图拓扑。这种方法在压缩TAG至原始大小的1%时，与现有方法相比显著提高了准确性。 AI

影响降低了处理文本属性图数据的计算要求，能够更有效地处理更大的数据集。

排序理由该集群包含一篇详细介绍数据压缩新方法的学术论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.LG TIER_1 English(EN) · Haowei Han, Yuxiang Wang, Guojia Wan, Hao Wang, Shanshan Feng, Hao Huang, Jiawei Jiang, Xiao Yan · 2026-06-03 04:00

Text-attributed Graph Condensation via Text Selection and Attribute Matching

arXiv:2606.03839v1 Announce Type: new Abstract: Text-Attributed Graph (TAG) is an important type of graph structured data, where each node has a text description. TAG models usually train a Graph Neural Network (GNN) and language model jointly, which leads to high space and time …
arXiv cs.LG TIER_1 English(EN) · Xiao Yan · 2026-06-02 16:20

Text-attributed Graph Condensation via Text Selection and Attribute Matching

Text-Attributed Graph (TAG) is an important type of graph structured data, where each node has a text description. TAG models usually train a Graph Neural Network (GNN) and language model jointly, which leads to high space and time consumption, especially on large datasets. To mi…