Towards accurate anomaly detection for cloud system via graph-enhanced contrastive learning by Zhen Zhang, Zhe Zhu, Chen Xu, Jinyu Zhang, Shaohua Xu

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Multistep photovoltaic power forecasting based on multi-timescale fluctuation aggregation attention mechanism and contrastive learning by Liang Yuan, Xiangting Wang, Yao Sun, Xubin Liu, Zhao Yang Dong

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Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis by Chaojun Li, Kai Ma, Shengrong Li, Xiangshui Meng, Ran Wang, Daoqiang Zhang, Qi Zhu

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CodeContrast: A Contrastive Learning Approach for Generating Coherent Programming Exercises by Nicolás Torres

Subjects: “…contrastive learning…”
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Mining label-free consistency regularization for noisy facial expression recognition by Yumei Tan, Haiying Xia, Shuxiang Song

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Hyperbolic Graph Convolutional Network Relation Extraction Model Combining Dependency Syntax and Contrastive Learning by Jinzhe Li

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TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

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BACVC: Bi-adaptive and cross-view consistency for incomplete multi-view subspace clustering by Jiaqiyu Zhan, Yuesheng Zhu, Guibo Luo

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Drug-Gene Interaction Prediction Method through Cross Granularity Subgraph Contrastive Learning and Attention Mechanism Fusion by HU Dongdong, PENG Yang, TAN Shuqiu, ZHU Xiaofei

Subjects: “…contrastive learning…”
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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: “…supervised contrastive learning…”
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