most citedGraph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning

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cs.LG2026

One Model, Many Graphs: Learning over Attributed Graphs across Heterogeneous Modalities with Vision-Language Models

Jiayi Yang, Yifang Chen, Yuanfu Sun +2

Vision-language models (VLMs) provide a unified representation space for textual and visual information, yet their potential as general-purpose backbones for graph-structured data…

cs.LG2025★ 1 cited

Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning

Jiajin Liu, Dongzhe Fan, Jiacheng Shen +3

Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in representing and understanding diverse modalities. However, they typically focus on modality a…