A Graph Convolutional Network Framework for Area Attention and Tracking Compensation of In-Orbit Satellite by Shuai Wang, Ruoke Wu, Yizhi Jiang, Xiaoqiang Di, Yining Mu, Guanyu Wen, Makram Ibrahim, Jinqing Li

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Detecting Fake Reviews Using Aspect-Based Sentiment Analysis and Graph Convolutional Networks by Prathana Phukon, Petros Potikas, Katerina Potika

“…The idea is to analyze sentiments related to specific aspects (features) within reviews. Graph convolutional networks are used to model the complex contextual dependencies in the review texts. …”
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GCN-Former: A Method for Action Recognition Using Graph Convolutional Networks and Transformer by Xueshen Cui, Jikai Zhang, Yihao He, Zhixing Wang, Wentao Zhao

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KA-GCN: Kernel-Attentive Graph Convolutional Network for 3D face analysis by Francesco Agnelli, Giuseppe Facchi, Giuliano Grossi, Raffaella Lanzarotti

“…GSL can be considered as the dynamic learning of connection weights within a layer of message passing in a GNN, and particularly in a Graph Convolutional Network (GCN). A significant challenge for GSL methods arises in scenarios with limited availability of large datasets, a common issue in 3D face analysis, particularly in medical applications. …”
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Identifying ADHD-Related Abnormal Functional Connectivity with a Graph Convolutional Neural Network by Yilin Hu, Junling Ran, Rui Qiao, Jiayang Xu, Congming Tan, Liangliang Hu, Yin Tian

“…We employed a graph convolutional neural network model to identify individuals with ADHD. …”
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TEA-GCN: Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Forecasting by Xiaxia He, Wenhui Zhang, Xiaoyu Li, Xiaodan Zhang

Subjects: “…graph convolutional networks…”
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SASTGCN: Semantic-Augmented Spatio-temporal graph convolutional network for subway flow prediction by Shiyuan Jin, Changfeng Jing, Sheng Yao, Yushan Zhang, Pu Zhao, Jinlong Zhang

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Recommending third-party APIs via using lightweight graph convolutional neural networks by Meijiao Zhang, Xianhao Pan, Jiajin Mai, Mingdong Tang, Tien-Hsiung Weng

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Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction by Varun Shinde, Vineet Dhanawat, Ahmad Almogren, Anjanava Biswas, Muhammad Bilal, Rizwan Ali Naqvi, Ateeq Ur Rehman

“…This paper presents a new method for CMF Detection (CMFD) that uses the power of Graph Convolution Networks (GCNs) and its multiple layers with ReLU activation, for CMFD and analysis. …”
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PGDRT: Prediction Demand Based on Graph Convolutional Network for Regional Demand-Responsive Transport by Eunkyeong Lee, Hosik Choi, Do-Gyeong Kim

“…Therefore, it is necessary to establish a regional demand generation prediction model that reflects temporal features for efficient demand response service operations. In this study, a graph convolutional network model that performs demand prediction using spatial and temporal information was developed. …”
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Prediction of reproductive and developmental toxicity using an attention and gate augmented graph convolutional network by Si Hoon Lee, Eunwoo Choi, JunHo Park, Seohwi Yoon, Myung-Ha Song, Ji Young Lee, Jungkwan Seo, Sun Kyung Shin, Sang Hee Lee, Han Bin Oh

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Secondary Operation Risk Assessment Method Integrating Graph Convolutional Networks and Semantic Embeddings by Pengyu Zhu, Youwei Li, Peidong Xu, Ping Li, Zhenbing Zhao, Gang Li

Subjects: “…graph convolutional network…”
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Sign Language Sentence Recognition Using Hybrid Graph Embedding and Adaptive Convolutional Networks by Pathomthat Chiradeja, Yijuan Liang, Chaiyan Jettanasen

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Emoji-Driven Sentiment Analysis for Social Bot Detection with Relational Graph Convolutional Networks by Kaqian Zeng, Zhao Li, Xiujuan Wang

“…Finally, a Relational Graph Convolutional Network (RGCN) is employed to model heterogeneous social topology for robust bot detection. …”
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BPDM-GCN: Backup Path Design Method Based on Graph Convolutional Neural Network by Wanwei Huang, Huicong Yu, Yingying Li, Xi He, Rui Chen

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Land-sea Clutter Classification Method Based on Multi-channel Graph Convolutional Networks by Can LI, Zengfu WANG, Xiaoxuan ZHANG, Quan PAN

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GMFLDA: Improved Prediction of lncRNA-Disease Association via Graph Convolutional Network by Kwangsu Kim, Jihwan Ha

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SL-GCNN: A Graph Convolutional Neural Network for Granular Human Motion Recognition by Yang Li, Jingyu Zhang

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Correction: Inverse link prediction with graph convolutional networks for knowledge-preserving sparsification in cheminformatics by Elnaz Bangian Tabrizi, Mehrdad Jalali, Mahboobeh Houshmand

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Enhancing biometric identification using 12-lead ECG signals and graph convolutional networks by Maram Al Alfi, Pedro Peris-Lopez, Carmen Camara

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