Author

Jia-Jin Liu

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#machine learning Jul 2026

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

OMG-VLM leverages a pretrained VLM as a shared backbone and introduces structure-aware graph adapters that integrate neighborhood information while remaining compatible with the VLM's native embedding space, enabling effective learning over text-attributed, image-attributed, and multimodal-attributed graphs within a single model.

Jia-Yi Yang, Yi-Fang Chen, Yuan-Fu Sun et al. · arXiv.org · 0 citations

Preprint Aug 2026

GraphVerse: A Comprehensive Visual Graph Reasoning Benchmark for Multimodal Large Language Models

GraphVerse is introduced, a unified benchmark that jointly evaluates perception, visual reasoning, and text-based graph reasoning in MLLMs under both single-image and paired-image settings and proposes VGR-Score, a process-sensitive metric that evaluates reasoning quality beyond final-answer accuracy.

Yuan-Fu Sun, Yuanhang Ren, Kang Li et al. · 1 citation · ⚡1