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Chun-Yu Hu

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Open access 2026

When does heterogeneous structured evidence help? A unified benchmark for structured-data modeling

The introduction of Trimodal Structured-Data Benchmark (TSDBench), an entity-centric benchmark for evaluating multimodal structured-data learning, highlights the need for more adaptive multimodal learning methods capable of selectively leveraging heterogeneous structured evidence.

Kai-Jie Cheng, Nuo-Yue Xu, Xing-Xuan Zhang et al. · 0 citations
Jul 2026

Surprisingly Simple and Effective Multi-Domain Graph Foundation Model through Graph-to-Table Alignment

GTAlign is proposed, a surprisingly simple yet effective Graph-to-Table Alignment framework for text-free Graph Foundation Model, and a community-guided continual pre-training, where pseudo-labels derived from graph community are used to construct few-shot prediction episodes.

Chunyu Hu, Tianyin Liao, Ge Lan et al. · 0 citations

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