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Graph-Agnostic Linear Transformers 期刊论文
NEURAL NETWORKS, 2026, 卷号: 198, 页码: 12
作者:  Guo, Zhiyu;  Liu, Yang;  Ao, Xiang;  Tang, Yateng;  Chen, Xinhuan;  Zheng, Xuehao;  He, Qing
收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25
Graph neural network  Graph transformer  Linear attention  Graph-agnostic model  
Spatio-temporal tree attention network for forecasting traffic flow 期刊论文
NEUROCOMPUTING, 2026, 卷号: 676, 页码: 14
作者:  Li, Haoran;  Lv, Zhiqiang;  Ma, Zhaobin;  Li, Jianbo;  Ma, Xiaolong;  Sun, Dongxin;  Guo, Kangxin;  Liu, Jun
收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25
Traffic flow prediction  Tree attention mechanism  Spatio-temporal features  Intelligent data analysis  
Major depressive disorder detection via temporal-frequency-spatial transformer with sub-domain knowledge alignment using EEG 期刊论文
NEURAL NETWORKS, 2026, 卷号: 193, 页码: 12
作者:  Xu, Chen-Yang;  Fan, Fei-Yi;  Zhao, Li-Xuan;  Jin, Li-Cheng;  Zhang, Yong-Hui;  Meng, Qing-Hao
收藏  |  浏览/下载：19/0  |  提交时间：2025/12/03
MDD detection  Sub-domain knowledge alignment (SDKA)  Temporal-frequency-spatial transformer (TFST)  Frequency attention (FA)  
Accurate multi-step wind and solar power forecasting based on multi-scale convolutional Kolmogorov-Arnold network and improved Lemming-optimized attention fusion 期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2026, 卷号: 163, 页码: 21
作者:  Chen, Siyuan;  Wan, Hang;  Peng, Botao;  Quan, Rui;  Chang, Yufang;  Derigent, William
收藏  |  浏览/下载：49/0  |  提交时间：2025/12/03
Renewable energy management  Multi-step power forecasting  Multi-scale convolutional Kolmogorov-Arnold network  Artificial Lemming Algorithm  Efficient additive attention  
TransMAP: A MAP-Inspired Transformer-Based Detector for OTFS Under Imperfect CSI 期刊论文
IEEE WIRELESS COMMUNICATIONS LETTERS, 2026, 卷号: 15, 页码: 275-279
作者:  Shi, Haiwei;  Yu, Hanxiao;  Zhou, Yiqing;  Shi, Jinglin;  Zhou, Shuo
收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25
Symbols  Detectors  Transformers  Signal detection  OFDM  Encoding  Attention mechanisms  Accuracy  Vectors  Channel estimation  OTFS  transformer  MAP detection  imperfect CSI  attention mechanism  
Learning to schedule dynamic job-shop problems by graph attention network with reinforcement learning 期刊论文
APPLIED INTELLIGENCE, 2025, 卷号: 55, 期号: 16, 页码: 16
作者:  Huang, Chao;  Hu, Haibo;  Zhou, Yan
收藏  |  浏览/下载：26/0  |  提交时间：2025/12/03
Job shop scheduling  Reinforcement learning  Graph attention network  
STAU: A SpatioTemporal-Aware Unit for Video Prediction and Beyond 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2025, 卷号: 47, 期号: 9, 页码: 7916-7929
作者:  Chang, Zheng;  Zhang, Xinfeng;  Wang, Shanshe;  Ma, Siwei;  Gao, Wen
收藏  |  浏览/下载：22/0  |  提交时间：2025/12/03
Spatiotemporal phenomena  Correlation  Predictive models  Stochastic processes  Hands  Dynamics  Visualization  Aggregates  Training  Reliability  Spatiotemporal-aware  spatiotemporal correlations  attention mechanism  video prediction and beyond  
Diagnosis and Subtyping of Autoimmune Encephalitis Using an Attention-Based Multi-Instance Learning Model: A Multi-Center 18F-FDG PET Study 期刊论文
CNS NEUROSCIENCE & THERAPEUTICS, 2025, 卷号: 31, 期号: 8, 页码: 11
作者:  Sun, Yueqian;  Sun, Ruizhe;  Lv, Jiahua;  Kong, Qingxia;  Dai, Cixiang;  Wang, Bin;  Han, Xiong;  Chen, Min;  Liu, Ruihan;  Jiang, Yan;  Yuan, Leilei;  Ai, Lin;  Yang, Xiaodong;  Chen, Yiqiang;  Wang, Qun
收藏  |  浏览/下载：24/0  |  提交时间：2025/12/03
F-18-FDG PET  attention-based  autoimmune encephalitis  multi-instance learning  
Efficient knowledge graph to text powered by LLGM: linear latent graph model 期刊论文
COMPLEX & INTELLIGENT SYSTEMS, 2025, 卷号: 11, 期号: 8, 页码: 22
作者:  Zhao, Xiaokang;  Zheng, Yao;  Shan, Yubo;  Li, Jingyuan;  Zhang, Kun;  Wang, Yuanzhuo
收藏  |  浏览/下载：22/0  |  提交时间：2025/12/03
Knowledge graph to text generation  Linear attention  Low rank compression  Fourier network  
GinAR plus : A Robust End-to-End Framework for Multivariate Time Series Forecasting With Missing Values 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2025, 卷号: 37, 期号: 8, 页码: 4635-4648
作者:  Yu, Chengqing;  Wang, Fei;  Shao, Zezhi;  Qian, Tangwen;  Zhang, Zhao;  Wei, Wei;  An, Zhulin;  Wang, Qi;  Xu, Yongjun
收藏  |  浏览/下载：25/0  |  提交时间：2025/12/03
Correlation  Predictive models  Forecasting  Time series analysis  Data models  Robustness  Adaptation models  Imputation  Contrastive learning  Training  graph interpolation attention recursive network  multivariate time series forecasting with missing values