Hugging Face Trending Papers July 21, 2026

OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation

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Text-attributed graphs (TAGs) are an important graph data form that combine relational structure with rich node text. However, real-world TAGs are often imperfect, with quality issues arising from text, structure, and labels, and typically manifesting as sparsity, noise, and imbalance.

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arXiv AI

Jul 22

OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation

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Jul 24

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By Yeongho Kim, Yeonje Choi, Kijung Shin

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arXiv Machine Learning

Jun 2

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Jun 3

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arXiv AI

Sep 1

HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs

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By Shujie Li, Yuxia Wu, Yuan Fang, Chuan Shi

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