Abstract: Vision GNNs (ViGs) divide an image into multiple patches, treating these image patches as graph nodes. The image is represented by extracting explicit features from these patches as node ...
As the world’s largest companies pour hundreds of billions of dollars into large language models, San Francisco-based Logical ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Official implementation of 'Vision Graph Prompting via Semantic Low-Rank Decomposition'. The paper has been accepted by ICML 2025. Vision GNN (ViG) demonstrates superior performance by representing ...
Background/Aims To report visual and anatomical outcomes following intravitreal hydroxypropylmethylcellulose (HPMC) for the treatment of chronic structural hypotony. Methods This study is a ...
1 Department of Analytics, Harrisburg University of Science and Technology, Harrisburg, PA, United States 2 Department of Emergency Medicine, UMass Chan Medical School, Worcester, MA, United States ...
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