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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
Book Open access Aug 2026

Towards Next Graph Token Prediction: Discrete Graph Tokenization for Structural Reasoning in Large Language Models

Large Language Models (LLMs), empowered by autoregressive next-token prediction, have demonstrated strong reasoning capabilities. Extending this paradigm to graph data requires next graph token prediction, yet existing graph tokens struggle to balance two competing requirements: capturing higher-order structural semant...

Zhonghao Wang, Yugang Ji, Zhuonan Zheng et al. · 0 citations

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