Добірка наукової літератури з теми "Graph and Multi-view Memory Attention"
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Статті в журналах з теми "Graph and Multi-view Memory Attention"
Ai, Bing, Yibing Wang, Liang Ji, Jia Yi, Ting Wang, Wentao Liu, and Hui Zhou. "A graph neural network fused with multi-head attention for text classification." Journal of Physics: Conference Series 2132, no. 1 (December 1, 2021): 012032. http://dx.doi.org/10.1088/1742-6596/2132/1/012032.
Повний текст джерелаLiu, Di, Hui Xu, Jianzhong Wang, Yinghua Lu, Jun Kong, and Miao Qi. "Adaptive Attention Memory Graph Convolutional Networks for Skeleton-Based Action Recognition." Sensors 21, no. 20 (October 12, 2021): 6761. http://dx.doi.org/10.3390/s21206761.
Повний текст джерелаFeng, Aosong, Irene Li, Yuang Jiang, and Rex Ying. "Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 11 (June 26, 2023): 12772–80. http://dx.doi.org/10.1609/aaai.v37i11.26502.
Повний текст джерелаLi, Mingxiao, and 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, no. 10 (June 28, 2022): 10983–92. http://dx.doi.org/10.1609/aaai.v36i10.21346.
Повний текст джерелаJung, Tae-Won, Chi-Seo Jeong, In-Seon Kim, Min-Su Yu, Soon-Chul Kwon, and Kye-Dong Jung. "Graph Convolutional Network for 3D Object Pose Estimation in a Point Cloud." Sensors 22, no. 21 (October 25, 2022): 8166. http://dx.doi.org/10.3390/s22218166.
Повний текст джерелаCui, Wei, Fei Wang, Xin He, Dongyou Zhang, Xuxiang Xu, Meng Yao, Ziwei Wang, and Jiejun Huang. "Multi-Scale Semantic Segmentation and Spatial Relationship Recognition of Remote Sensing Images Based on an Attention Model." Remote Sensing 11, no. 9 (May 2, 2019): 1044. http://dx.doi.org/10.3390/rs11091044.
Повний текст джерелаHou, Miaomiao, Xiaofeng Hu, Jitao Cai, Xinge Han, and Shuaiqi Yuan. "An Integrated Graph Model for Spatial–Temporal Urban Crime Prediction Based on Attention Mechanism." ISPRS International Journal of Geo-Information 11, no. 5 (April 30, 2022): 294. http://dx.doi.org/10.3390/ijgi11050294.
Повний текст джерелаMi, Chunlei, Shifen Cheng, and 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, no. 3 (March 9, 2022): 185. http://dx.doi.org/10.3390/ijgi11030185.
Повний текст джерелаKarimanzira, Divas, Linda Ritzau, and Katharina Emde. "Catchment Area Multi-Streamflow Multiple Hours Ahead Forecast Based on Deep Learning." Transactions on Machine Learning and Artificial Intelligence 10, no. 5 (September 29, 2022): 15–29. http://dx.doi.org/10.14738/tmlai.105.13049.
Повний текст джерелаWang, Changhai, Jiaxi Ren, and Hui Liang. "MSGraph: Modeling multi-scale K-line sequences with graph attention network for profitable indices recommendation." Electronic Research Archive 31, no. 5 (2023): 2626–50. http://dx.doi.org/10.3934/era.2023133.
Повний текст джерелаЧастини книг з теми "Graph and Multi-view Memory Attention"
Vijaikumar, M., Shirish Shevade, and M. Narasimha Murty. "GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation." In 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.
Повний текст джерелаChen, Junxin, Kuijie Lin, Xiang Chen, Xijun Wang, and Terng-Yin Hsu. "Location Recommendations Based on Multi-view Learning and Attention-Enhanced Graph Networks." In Big Data and Social Computing, 83–95. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3925-1_5.
Повний текст джерелаSong, Jie, Zhe Xue, Junping Du, Feifei Kou, Meiyu Liang, and Mingying Xu. "Multi-view Relevance Matching Model of Scientific Papers Based on Graph Convolutional Network and Attention Mechanism." In Artificial Intelligence, 724–34. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-93046-2_61.
Повний текст джерелаТези доповідей конференцій з теми "Graph and Multi-view Memory Attention"
Han, Qilong, Dan Lu, and Rui Chen. "Fine-Grained Air Quality Inference via Multi-Channel Attention Model." In 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.
Повний текст джерелаZhao, Mingxia, and Adele Lu Jia. "Multi-View Heterogeneous Graph Attention Network." In 2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2023. http://dx.doi.org/10.1109/cscwd57460.2023.10152688.
Повний текст джерелаChen, Dianying, Xiumei Wei, and Xuesong Jiang. "Multi-view clustering method based on graph attention autoencoder." In 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.
Повний текст джерелаFu, You, Siyu Fang, Rui Wang, Xiulong Yi, Jianzhi Yu, and Rong Hua. "Multi-view Attention with Memory Assistant for Image Captioning." In 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ). IEEE, 2022. http://dx.doi.org/10.1109/iaeac54830.2022.9929571.
Повний текст джерелаChen, Dongyue, Ruonan Liu, Wenlong Yu, Kai Zhang, Yusheng Pu, and Di Cao. "Fault Diagnosis of Industrial Control System With Graph Attention Network on Multi-view Graph." In 2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT). IEEE, 2021. http://dx.doi.org/10.1109/acait53529.2021.9731197.
Повний текст джерелаCui, Nan, Chunqi Chen, Beijun Shen, and Yuting Chen. "Learning to Match Workers and Tasks via a Multi-View Graph Attention Network." In 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2021. http://dx.doi.org/10.1109/compsac51774.2021.00035.
Повний текст джерелаCheng, Jiafeng, Qianqian Wang, Zhiqiang Tao, Deyan Xie, and Quanxue Gao. "Multi-View Attribute Graph Convolution Networks for Clustering." In 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.
Повний текст джерелаCui, Chenhang, Yazhou Ren, Jingyu Pu, Xiaorong Pu, and Lifang He. "Deep Multi-view Subspace Clustering with Anchor Graph." In 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.
Повний текст джерелаZhang, Mingyang, Tong Li, Yong Li, and Pan Hui. "Multi-View Joint Graph Representation Learning for Urban Region Embedding." In 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.
Повний текст джерелаChen, Weitao, Hongbin Xu, Zhipeng Zhou, Yang Liu, Baigui Sun, Wenxiong Kang, and Xuansong Xie. "CostFormer:Cost Transformer for Cost Aggregation in Multi-view Stereo." In 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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