Ada-GCNLSTM: An adaptive urban crime spatiotemporal prediction model by Miaoxuan Shan, Chunlin Ye, Peng Chen, Shufan Peng

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Graph-based vision transformer with sparsity for training on small datasets from scratch by Peng Li, Lu Huang, Jin Li, Haiyan Yan, Dongjing Shan

“…To address this issue, we propose a Graph-based Vision Transformer (GvT) that utilizes graph convolutional projection and graph-pooling. …”
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A simple yet effective approach for predicting disease spread using mathematically-inspired diffusion-informed neural networks by ByeongChang Jeong, Yeon Ju Lee, Cheol E. Han

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Research on risk assessment and optimization of GCN supply chain financial network based on M estimation by Xinquan Yu, Feide Tong, Zhongzhen Hu

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GCBRGCN: Integration of ceRNA and RGCN to Identify Gastric Cancer Biomarkers by Peng Zhi, Yue Liu, Chenghui Zhao, Kunlun He

Subjects: “…relational graph convolutional network…”
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GCN-based weakly-supervised community detection with updated structure centres selection by Liping Deng, Bing Guo, Wen Zheng

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Urban Land Use Classification Model Fusing Multimodal Deep Features by Yougui Ren, Zhiwei Xie, Shuaizhi Zhai

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Federated duelling deep Q‐network based collaborative energy scheduling for a power distribution network by Yanhong Yang, Wei Pei, Tianyi Xu, Dawei Wang, Abdelbari Redouane

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Establishing Two-Dimensional Dependencies for Multi-Label Image Classification by Jiuhang Wang, Yuewen Zhang, Tengjing Wang, Hongying Tang, Baoqing Li

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Graph Split Federated Learning for Distributed Large-Scale AIoT in Smart Cities by Hanyue Xu, Kah Phooi Seng, Li-Minn Ang, Wei Wang, Jeremy Smith

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DGL-STFA: Predicting lithium-ion battery health with dynamic graph learning and spatial–temporal fusion attention by Zheng Chen, Quan Qian

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Enhancing basal cell carcinoma classification in preoperative biopsies via transfer learning with weakly supervised graph transformers by Johan Björkman, Sigrid Lagerroth, Jan Siarov, Filmon Yacob, Noora Neittaanmäki

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Forecasting Groundwater Level by Characterizing Multiple Spatial Dependencies of Environmental Factors Using Graph‐Based Deep Learning by Yinghan Wu, Gang Mei, Kaixuan Shao, Nengxiong Xu, Jianbing Peng

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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

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IEDSFAN: information enhancement and dynamic-static fusion attention network for traffic flow forecasting by Lianfei Yu, Ziling Wang, Wenxi Yang, Zhijian Qu, Chongguang Ren

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Research on Point Cloud Registration and Stitching Fusion Algorithm Based on GCN-PRFNet by Wenhao Zeng, Gongbing Su, Zixuan Su, Rui Li, Jun Chen

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Neural network model for dependency parsing incorporating global vector feature by Hengjun WANG, Nianwen SI, Yulong SONG, Yidong SHAN

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Domain adaptation spatial feature perception neural network for cross-subject EEG emotion recognition by Wei Lu, Wei Lu, Xiaobo Zhang, Xiaobo Zhang, Lingnan Xia, Hua Ma, Tien-Ping Tan

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DEANE: Context-Aware Dual-Craft Graph Contrastive Learning for Enhanced Extractive Question Answering by Dongfen Ye, Jianqiang Zhou, Gang Huang

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Graph-Based Topological Embedding and Deep Reinforcement Learning for Autonomous Voltage Control in Power System by Hongtao Wei, Siyu Chang, Jiaming Zhang

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