Author

Xiang-Ru Jian

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#machine learning Conference Open access Sep 2026

When Vision Meets Graphs: A Survey on Graph Reasoning and Learning

This survey provides a first systematic overview of the emerging area of vision meets graphs, which treats visual depictions of graphs as first-class inputs for reasoning and learning, and organize existing work into three threads.

Xinjian Zhao, Wei Pang, Zhixuan Yu et al. · Proceedings of the Thirty-Fi... · 2 citations

Preprint Aug 2026

MolEmb: Multimodal Large Language Models Can Be Strong Molecular Embedding Models

This work introduces \textbf{MolEmb}, a lightweight framework that adapts MLLMs by aligning molecular profiles with textual descriptions in a shared embedding space using a bidirectional contrastive objective, and finds that context-aware molecular embedding is primarily a data property of the supervision.

Xinjian Zhao, Xiang-Ru Jian, Yao-Yao Xu et al. · 3 citations