Creating Semantic Learner Groups in Distance Education Using the GraphSAGE approach by Chetoui Ismail, El Bachari Essaid, Ait Lahcen Yassine

Subjects: “…graph neural networks…”
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Graph Convolution for Large-Scale Graph Node Classification Task Based on Spatial and Frequency Domain Fusion by Junwen Lu, Lingrui Zheng, Xianmei Hua, Yankun Wang

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GS-DTA: integrating graph and sequence models for predicting drug-target binding affinity by Junwei Luo, Ziguang Zhu, Zhenhan Xu, Chuanle Xiao, Jingjing Wei, Jiquan Shen

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A Social Media Dataset and H-GNN-Based Contrastive Learning Scheme for Multimodal Sentiment Analysis by Jiao Peng, Yue He, Yongjuan Chang, Yanyan Lu, Pengfei Zhang, Zhonghong Ou, Qingzhi Yu

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Instance-level semantic segmentation of nuclei based on multimodal structure encoding by Bo Guan, Guangdi Chu, Ziying Wang, Jianmin Li, Bo Yi

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Multimodal Recommendation System Based on Cross Self-Attention Fusion by Peishan Li, Weixiao Zhan, Lutao Gao, Shuran Wang, Linnan Yang

Subjects: “…graph neural networks…”
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GTAT: empowering graph neural networks with cross attention by Jiahao Shen, Qura Tul Ain, Yaohua Liu, Banqing Liang, Xiaoli Qiang, Zheng Kou

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Harnessing distributed GPU computing for generalizable graph convolutional networks in power grid reliability assessments by Somayajulu L.N. Dhulipala, Nicholas Casaprima, Audrey Olivier, Bjorn C. Vaagensmith, Timothy R. McJunkin, Ryan C. Hruska

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Cross-Attention Fusion of Visual and Geometric Features for Large-Vocabulary Arabic Lipreading by Samar Daou, Achraf Ben-Hamadou, Ahmed Rekik, Abdelaziz Kallel

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Rethinking spatial-temporal contrastive learning for Urban traffic flow forecasting: multi-level augmentation framework by Lin Pan, Qianqian Ren, Zilong Li, Xingfeng Lv

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Dynamic Spatial–Temporal Graph Neural Network for Cooling Capacity Prediction in HVDC Systems by Hao Sun, Shaosen Li, Jianxiang Huang, Hao Li, Guanxin Jing, Ye Tao, Xincui Tian

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Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection by Chenxu Wang, Mengqin Wang, Xiaoguang Wang, Luyue Zhang, Yi Long

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GNN-EADD: Graph Neural Network-Based E-Commerce Anomaly Detection via Dual-Stage Learning by Zhouhang Shao, Xuran Wang, Enkai Ji, Shiyang Chen, Jin Wang

Subjects: “…Graph neural networks…”
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An Interpretable Prediction Method for Tobacco Drying Process Based on CGTNN by Wencai Wang, Chen Yang, Wenwei Niu, Sidi Lin, Qiang Gao, Zhe Cao, Jianning Chen, Jianzhong Li, Zhengkui Li

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Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method by Abhijeet Sahu, Truc Nguyen, Kejun Chen, Xiangyu Zhang, Malik Hassanaly

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Graph Neural Networks in Brain Connectivity Studies: Methods, Challenges, and Future Directions by Hamed Mohammadi, Waldemar Karwowski

Subjects: “…graph neural networks (GNNs)…”
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Improving the Generalizability and Robustness of Large-Scale Traffic Signal Control by Tianyu Shi, Francois-Xavier Devailly, Denis Larocque, Laurent Charlin

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Zero-Shot Traffic Identification with Attribute and Graph-Based Representations for Edge Computing by Zikui Lu, Zixi Chang, Mingshu He, Luona Song

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Exploration Degree Bias: The Hidden Influence of Node Degree in Graph Neural Network-Based Reinforcement Learning by Peter Tarabek, David Matis

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MDFGNN-SMMA: prediction of potential small molecule-miRNA associations based on multi-source data fusion and graph neural networks by Jianwei Li, Xukun Zhang, Bing Li, Ziyu Li, Zhenzhen Chen

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