Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction by Zexi Yang, Qi Yu, Yapeng Zhan, Jiying Liu

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MONSTROUS: a web-based chemical-transporter interaction profiler by Mohamed Diwan M. AbdulHameed, Mohamed Diwan M. AbdulHameed, Souvik Dey, Souvik Dey, Zhen Xu, Zhen Xu, Ben Clancy, Ben Clancy, Valmik Desai, Valmik Desai, Anders Wallqvist

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Causal inference-based graph neural network method for predicting asphalt pavement performance by CHEN Kai;WANG Xiaohe;SHI Xinli;CAO Jinde

Subjects: “…dual-channel graph convolutional neural network…”
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Intelligent Layout and Optimization of EV Charging Stations: Initial Configuration via Enhanced K-Means and Subsequent Refinement through Integrated GCN by H. Yang, M. Liu, J. Zou, R. Xu, J. Huang, P. Geng

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Epilepsy EEG Seizure Prediction Based on the Combination of Graph Convolutional Neural Network Combined with Long- and Short-Term Memory Cell Network by Zhejun Kuang, Simin Liu, Jian Zhao, Liu Wang, Yunkai Li

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Multi-component attention graph convolutional neural network for QoS-aware cloud job scheduling and resource management enhancing efficiency and performance in cloud computing by Deepak Dharrao, Sarika Deokate, Nagamma Hudgi, Shrinivas Shirkande, Vinod Mahajan, Madhuri Pangavhane, Anupkumar Bongale

Subjects: “…Multi-component attention graph convolutional neural network…”
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Multimodal data fusion for Alzheimer's disease based on dynamic heterogeneous graph convolutional neural network and generative adversarial network by Xiaoyu Chen, Shuaiqun Wang, Wei Kong

Subjects: “…Heterogeneous graph convolutional neural network…”
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Geometric Deep Learning for Protein–Protein Interaction Predictions by Gabriel St-Pierre Lemieux, Eric Paquet, Herna L Viktor, Wojtek Michalowski

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Medium and Long Term Wind Power Prediction Based on Graph Convolutional Network and Wind Velocity Differential Fitting by Zihan CHEN, Wei TENG, Xuefeng XU, Xian DING, Yibing LIU

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Correlations between an Urban Three-Dimensional Pedestrian Network and Service Industry Layouts Based on Graph Convolutional Neural Networks: A Case Study of Xinjiekou, Nanjing by Xinyu Hu, Ruxia Bai, Chen Li, Beixiang Shi, Hui Wang

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VSA-GCNN: Attention Guided Graph Neural Networks for Brain Tumor Segmentation and Classification by Kambham Pratap Joshi, Vishruth Boraiah Gowda, Parameshachari Bidare Divakarachari, Paramesh Siddappa Parameshwarappa, Raj Kumar Patra

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Spatial-temporal deep learning model based on Similarity Principle for dock shared bicycles ridership prediction by Jiahui Zhao, Zhibin Li, Pan Liu, Mingye Zhang

Subjects: “…Keywords: Traffic demand prediction, Similarity-based Principle, Spatio-temporal Graph Convolutional Neural Network model; activity-based geographic information; prediction of bicycle sharing ridership.…”
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Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screening by Bo Wang, Muhammad Junaid, Wenjin Li

Subjects: “…Graph convolutional neural networks…”
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A Power Monitor System Cybersecurity Alarm-Tracing Method Based on Knowledge Graph and GCNN by Tianhao Ma, Juan Yu, Binquan Wang, Maosheng Gao, Zhifang Yang, Yajie Li, Mao Fan

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Autonomous Driving Decision-Making Method Based on Spatial-Temporal Fusion Trajectory Prediction by Yutao Luo, Aining Sun, Jiawei Hong

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Load aggregator adjustable capability forecasting based on graph convolution neural network by DONG Lingrui, WU Binyuan

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RG-GCN: Improved Graph Convolution Neural Network Algorithm Based on Rough Graph by Weiping Ding, Bairu Pan, Hengrong Ju, Jiashuang Huang, Chun Cheng, Xinjie Shen, Yu Geng, Tao Hou

Subjects: “…Graph convolution neural network…”
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Towards lightweight model using non-local-based graph convolution neural network for SQL injection detection by Duc-Chinh Nguyen, Manh-Hung Ha, Manh-Tuan Do, Oscal Tzyh-Chiang Chen

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Predicting correlation relationships of entities between attack patterns and techniques based on word embedding and graph convolutional network by Weicheng QIU, Xiuzhen CHEN, Yinghua MA, Jin MA, Zhihong ZHOU

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Deep learning in-depth analysis of crystal graph convolutional neural networks: A new era in materials discovery and its applications by Qureshi Nilam, Bang Jinhong, Doh Jaehyeok

Subjects: “…crystal graph convolutional neural networks…”
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