Learner preferences prediction with mixture embedding of knowledge and behavior graph by Xiaoguang LI, Lei GONG, Xiaoli LI, Xin ZHANG, Ge YU

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Importance of benzoyltransferase GcnE and lysine benzoylation of alcohol dehydrogenase AdhB in pathogenesis and aflatoxin production in Aspergillus flavus by Xuan Chen, Lihan Wu, Yuqi Zhang, Sen Wang, Shihua Wang

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Spammer detection technology of social network based on graph convolution network by Qiang QU, Hongtao YU, Ruiyang HUANG

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A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks by Vikram S. Ingole, Ujwala A. Kshirsagar, Vikash Singh, Manish Varun Yadav, Bipin Krishna, Roshan Kumar

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End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence by Wojciech Ciezobka, Joan Falco-Roget, Cemal Koba, Alessandro Crimi

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Auxiliary Task Graph Convolution Network: A Skeleton-Based Action Recognition for Practical Use by Junsu Cho, Seungwon Kim, Chi-Min Oh, Jeong-Min Park

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FedBFGCN: A Graph Federated Learning Framework Based on Balanced Channel Attention and Cross-Layer Feature Fusion Convolution by Hefei Wang, Ruichun Gu, Jingyu Wang, Xiaolin Zhang, Hui Wei

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Silver (Ag) doped graphitic carbon nitride (g-C3N4)/biochar composite photocatalyst for improved photocatalytic degradation of ciprofloxacin (CIP) by Ijlal Idrees, Muhammad Zafar, Malik Adeel Umer, Fahad Rehman, Abdul Razzaq, Seongwan Kim, Yunsook Yang, Woo Young Kim

Subjects: “…Graphitic carbon nitride (GCN)…”
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DSMF-Net: Dual Semantic Metric Learning Fusion Network for Few-Shot Aerial Image Semantic Segmentation by Xiyu Qi, Yidan Zhang, Lei Wang, Yifan Wu, Yi Xin, Zhan Chen, Yunping Ge

Subjects: “…graph convolutional network (GCN)…”
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Establishing a GRU-GCN coordination-based prediction model for miRNA-disease associations by Kai-Cheng Chuang, Ping-Sung Cheng, Yu-Hung Tsai, Meng-Hsiun Tsai

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SGCL-LncLoc: An Interpretable Deep Learning Model for Improving lncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning by Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng

Subjects: “…graph convolutional network (gcn)…”
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A novel graph convolution and frequency domain filtering approach for hyperspectral anomaly detection by Yang Ding, Hao Yan, Jingyuan He, Juanjuan Yin, A. Ruhan

Subjects: “…Graph convolutional networks(GCN)…”
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