Literatura académica sobre el tema "Graph and Multi-view Memory Attention"
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Artículos de revistas sobre el tema "Graph and Multi-view Memory Attention"
Ai, Bing, Yibing Wang, Liang Ji, Jia Yi, Ting Wang, Wentao Liu y Hui Zhou. "A graph neural network fused with multi-head attention for text classification". Journal of Physics: Conference Series 2132, n.º 1 (1 de diciembre de 2021): 012032. http://dx.doi.org/10.1088/1742-6596/2132/1/012032.
Texto completoLiu, Di, Hui Xu, Jianzhong Wang, Yinghua Lu, Jun Kong y Miao Qi. "Adaptive Attention Memory Graph Convolutional Networks for Skeleton-Based Action Recognition". Sensors 21, n.º 20 (12 de octubre de 2021): 6761. http://dx.doi.org/10.3390/s21206761.
Texto completoFeng, Aosong, Irene Li, Yuang Jiang y Rex Ying. "Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 11 (26 de junio de 2023): 12772–80. http://dx.doi.org/10.1609/aaai.v37i11.26502.
Texto completoLi, Mingxiao y Marie-Francine Moens. "Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 10 (28 de junio de 2022): 10983–92. http://dx.doi.org/10.1609/aaai.v36i10.21346.
Texto completoJung, Tae-Won, Chi-Seo Jeong, In-Seon Kim, Min-Su Yu, Soon-Chul Kwon y Kye-Dong Jung. "Graph Convolutional Network for 3D Object Pose Estimation in a Point Cloud". Sensors 22, n.º 21 (25 de octubre de 2022): 8166. http://dx.doi.org/10.3390/s22218166.
Texto completoCui, Wei, Fei Wang, Xin He, Dongyou Zhang, Xuxiang Xu, Meng Yao, Ziwei Wang y Jiejun Huang. "Multi-Scale Semantic Segmentation and Spatial Relationship Recognition of Remote Sensing Images Based on an Attention Model". Remote Sensing 11, n.º 9 (2 de mayo de 2019): 1044. http://dx.doi.org/10.3390/rs11091044.
Texto completoHou, Miaomiao, Xiaofeng Hu, Jitao Cai, Xinge Han y Shuaiqi Yuan. "An Integrated Graph Model for Spatial–Temporal Urban Crime Prediction Based on Attention Mechanism". ISPRS International Journal of Geo-Information 11, n.º 5 (30 de abril de 2022): 294. http://dx.doi.org/10.3390/ijgi11050294.
Texto completoMi, Chunlei, Shifen Cheng y Feng Lu. "Predicting Taxi-Calling Demands Using Multi-Feature and Residual Attention Graph Convolutional Long Short-Term Memory Networks". ISPRS International Journal of Geo-Information 11, n.º 3 (9 de marzo de 2022): 185. http://dx.doi.org/10.3390/ijgi11030185.
Texto completoKarimanzira, Divas, Linda Ritzau y Katharina Emde. "Catchment Area Multi-Streamflow Multiple Hours Ahead Forecast Based on Deep Learning". Transactions on Machine Learning and Artificial Intelligence 10, n.º 5 (29 de septiembre de 2022): 15–29. http://dx.doi.org/10.14738/tmlai.105.13049.
Texto completoWang, Changhai, Jiaxi Ren y Hui Liang. "MSGraph: Modeling multi-scale K-line sequences with graph attention network for profitable indices recommendation". Electronic Research Archive 31, n.º 5 (2023): 2626–50. http://dx.doi.org/10.3934/era.2023133.
Texto completoCapítulos de libros sobre el tema "Graph and Multi-view Memory Attention"
Vijaikumar, M., Shirish Shevade y M. Narasimha Murty. "GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation". En Advances in Knowledge Discovery and Data Mining, 28–40. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47426-3_3.
Texto completoChen, Junxin, Kuijie Lin, Xiang Chen, Xijun Wang y Terng-Yin Hsu. "Location Recommendations Based on Multi-view Learning and Attention-Enhanced Graph Networks". En Big Data and Social Computing, 83–95. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3925-1_5.
Texto completoSong, Jie, Zhe Xue, Junping Du, Feifei Kou, Meiyu Liang y Mingying Xu. "Multi-view Relevance Matching Model of Scientific Papers Based on Graph Convolutional Network and Attention Mechanism". En Artificial Intelligence, 724–34. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-93046-2_61.
Texto completoActas de conferencias sobre el tema "Graph and Multi-view Memory Attention"
Han, Qilong, Dan Lu y Rui Chen. "Fine-Grained Air Quality Inference via Multi-Channel Attention Model". En Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/346.
Texto completoZhao, Mingxia y Adele Lu Jia. "Multi-View Heterogeneous Graph Attention Network". En 2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2023. http://dx.doi.org/10.1109/cscwd57460.2023.10152688.
Texto completoChen, Dianying, Xiumei Wei y Xuesong Jiang. "Multi-view clustering method based on graph attention autoencoder". En 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta). IEEE, 2022. http://dx.doi.org/10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00213.
Texto completoFu, You, Siyu Fang, Rui Wang, Xiulong Yi, Jianzhi Yu y Rong Hua. "Multi-view Attention with Memory Assistant for Image Captioning". En 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ). IEEE, 2022. http://dx.doi.org/10.1109/iaeac54830.2022.9929571.
Texto completoChen, Dongyue, Ruonan Liu, Wenlong Yu, Kai Zhang, Yusheng Pu y Di Cao. "Fault Diagnosis of Industrial Control System With Graph Attention Network on Multi-view Graph". En 2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT). IEEE, 2021. http://dx.doi.org/10.1109/acait53529.2021.9731197.
Texto completoCui, Nan, Chunqi Chen, Beijun Shen y Yuting Chen. "Learning to Match Workers and Tasks via a Multi-View Graph Attention Network". En 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2021. http://dx.doi.org/10.1109/compsac51774.2021.00035.
Texto completoCheng, Jiafeng, Qianqian Wang, Zhiqiang Tao, Deyan Xie y Quanxue Gao. "Multi-View Attribute Graph Convolution Networks for Clustering". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/411.
Texto completoCui, Chenhang, Yazhou Ren, Jingyu Pu, Xiaorong Pu y Lifang He. "Deep Multi-view Subspace Clustering with Anchor Graph". En Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/398.
Texto completoZhang, Mingyang, Tong Li, Yong Li y Pan Hui. "Multi-View Joint Graph Representation Learning for Urban Region Embedding". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/611.
Texto completoChen, Weitao, Hongbin Xu, Zhipeng Zhou, Yang Liu, Baigui Sun, Wenxiong Kang y Xuansong Xie. "CostFormer:Cost Transformer for Cost Aggregation in Multi-view Stereo". En Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/67.
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