Novel Federated Graph Contrastive Learning for IoMT Security: Protecting Data Poisoning and Inference Attacks by Amarudin Daulay, Kalamullah Ramli, Ruki Harwahyu, Taufik Hidayat, Bernardi Pranggono

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Learning Developmental Age From 3D Infant Kinetics Using Adaptive Graph Neural Networks by Daniel Holmberg, Manu Airaksinen, Viviana Marchi, Andrea Guzzetta, Anna Tuiskula, Leena Haataja, Sampsa Vanhatalo, Teemu Roos

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MB-AGCL: multi-behavior adaptive graph contrast learning for recommendation by Xiaowen lv, Yiwei Zhao, Zhihu Zhou, Yifeng Zhang, Yourong Chen

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Spatial Proximity Relations-Driven Semantic Representation for Geospatial Entity Categories by Yongbin Tan, Hong Wang, Rongfeng Cai, Lingling Gao, Zhonghai Yu, Xin Li

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Assessment instrument of graph representations on sound wave topic: Development and measurement implementation by Pramudya Wahyu Pradana, Supahar

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Beyond contrastive learning: adaptive graph representations with mutual information maximization for blockchain and structured data by Yifeng Zhang, Qianqian Ren, Yourong Chen, Meng Han

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Enhancing atom mapping with multitask learning and symmetry-aware deep graph matching by Maryam Astero, Juho Rousu

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HGNN-GAMS: Heterogeneous Graph Neural Networks for Graph Attribute Mining and Semantic Fusion by Yufei Zhao, Hua Liu, Hua Duan

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Graph Representation Learning for the Prediction of Medication Usage in the UK Biobank Based on Pharmacogenetic Variants by Bill Qi, Yannis J. Trakadis

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Investigating Similarities Across Decentralized Finance (DeFi) Services by Junliang Luo, Stefan Kitzler, Pietro Saggese

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Advanced biomedical imaging for identifying blood cell type: Integrating segmentation, feature extraction, and GraphSAGE model by Nur Mohammad Fahad, Mohaimenul Azam Khan Raiaan, Arefin Ittesafun Abian, Ripon Kumar Debnath, Sidratul Montaha, Mirjam Jonkman, Sami Azam

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ReAHGN: Adaptive Heterogeneous Graph Neural Network With Relation-Aware Embedding by Xiaoyu Zhu, Xinzhe Yu, Enze Zha, Shiyang Lin

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An Explainable Graph Neural Framework to Identify Cancer‐Associated Intratumoral Microbial Communities by Zhaoqian Liu, Yuhan Sun, Yingjie Li, Anjun Ma, Nyelia F. Willaims, Shiva Jahanbahkshi, Rebecca Hoyd, Xiaoying Wang, Shiqi Zhang, Jiangjiang Zhu, Dong Xu, Daniel Spakowicz, Qin Ma, Bingqiang Liu

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Gene2role: a role-based gene embedding method for comparative analysis of signed gene regulatory networks by Xin Zeng, Shu Liu, Bowen Liu, Weihang Zhang, Wanzhe Xu, Fujio Toriumi, Kenta Nakai

Subjects: “…Graph representation learning…”
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GRE²-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning by Quanjun Li, Weixuan Li, Xiya Zheng, Junhua Zhou, Wenming Zhong, Xuhang Chen, Chao Long

Subjects: “…Graph representation…”
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Graph representation of local environments for learning high-entropy alloy properties by Hengrui Zhang, Ruishu Huang, Jie Chen, James M Rondinelli, Wei Chen

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text2graphAPI: A library to transform text documents into different graph representations by Andric Valdez-Valenzuela, Helena Gómez-Adorno

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ARO-GNN: Adaptive relation-optimized graph neural networks by Yong Lu, Zhengguo Lin

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MGACL: Prediction Drug–Protein Interaction Based on Meta-Graph Association-Aware Contrastive Learning by Pinglu Zhang, Peng Lin, Dehai Li, Wanchun Wang, Xin Qi, Jing Li, Jianshe Xiong

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A Knowledge‐Guided Graph Learning Approach Bridging Phenotype‐ and Target‐Based Drug Discovery by Qing Ye, Yundian Zeng, Linlong Jiang, Yu Kang, Peichen Pan, Jiming Chen, Yafeng Deng, Haitao Zhao, Shibo He, Tingjun Hou, Chang‐Yu Hsieh

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