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Book Open access Aug 2026

MOBI: Monolithic Graph-Language Modeling Beyond Modality Interference

Graph-Language Models (GLMs) aim to endow LLMs with structure-grounded reasoning ability, yet existing solutions often struggle with modality interference : structural information can disrupt pretrained linguistic reasoning, while language cues can overwhelm structural signals. Mainstream modular GLMs with an external...

Zhiyao Zhou, Yugang Ji, Zi-Wen Xu et al. · 0 citations
Conference Open access Sep 2026

Conspiracy Spoofing Detection via Structure-Augmented Generative Graph Model

Detecting spoofing in financial trading is a critical data mining task. While traditional machine learning models focus on individual node features, graph-based methodologies have shown superior performance by integrating relational data and structure information. However, spoofing transactions often exhibit distributi...

Sheng Xiang, Zi-Wen Xu, Yi-Dong Jiang et al. · 0 citations

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