Статті в журналах з теми "Temporal Graph Processing"
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Christensen, Andrew J., Ananya Sen Gupta, and Ivars Kirsteins. "Sonar target feature representation using temporal graph networks." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A102. http://dx.doi.org/10.1121/10.0010791.
Повний текст джерелаChoi, Jeongwhan, Hwangyong Choi, Jeehyun Hwang, and Noseong Park. "Graph Neural Controlled Differential Equations for Traffic Forecasting." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 6 (June 28, 2022): 6367–74. http://dx.doi.org/10.1609/aaai.v36i6.20587.
Повний текст джерелаZhao, Xiaojuan, Aiping Li, Rong Jiang, Kai Chen, and Zhichao Peng. "Householder Transformation-Based Temporal Knowledge Graph Reasoning." Electronics 12, no. 9 (April 26, 2023): 2001. http://dx.doi.org/10.3390/electronics12092001.
Повний текст джерелаLiu, Jun. "Motion Action Analysis at Basketball Sports Scene Based on Image Processing." Scientific Programming 2022 (March 7, 2022): 1–11. http://dx.doi.org/10.1155/2022/7349548.
Повний текст джерелаLi, Jing, Wenyue Guo, Haiyan Liu, Xin Chen, Anzhu Yu, and Jia Li. "Predicting User Activity Intensity Using Geographic Interactions Based on Social Media Check-In Data." ISPRS International Journal of Geo-Information 10, no. 8 (August 17, 2021): 555. http://dx.doi.org/10.3390/ijgi10080555.
Повний текст джерелаKe, Xiangyu, Arijit Khan, and Francesco Bonchi. "Multi-relation Graph Summarization." ACM Transactions on Knowledge Discovery from Data 16, no. 5 (October 31, 2022): 1–30. http://dx.doi.org/10.1145/3494561.
Повний текст джерелаZhang, Guoxing, Haixiao Wang, and Yuanpu Yin. "Multi-type Parameter Prediction of Traffic Flow Based on Time-space Attention Graph Convolutional Network." International Journal of Circuits, Systems and Signal Processing 15 (August 11, 2021): 902–12. http://dx.doi.org/10.46300/9106.2021.15.97.
Повний текст джерелаZheng, Xiaolong, Dongdong Guan, Bangjie Li, Zhengsheng Chen, and Lefei Pan. "Global and Local Graph-Based Difference Image Enhancement for Change Detection." Remote Sensing 15, no. 5 (February 21, 2023): 1194. http://dx.doi.org/10.3390/rs15051194.
Повний текст джерелаSteinbauer, Matthias, and Gabriele Anderst Kotsis. "DynamoGraph: extending the Pregel paradigm for large-scale temporal graph processing." International Journal of Grid and Utility Computing 7, no. 2 (2016): 141. http://dx.doi.org/10.1504/ijguc.2016.077491.
Повний текст джерелаChen, Yaosen, Bing Guo, Yan Shen, Wei Wang, Weichen Lu, and Xinhua Suo. "Boundary graph convolutional network for temporal action detection." Image and Vision Computing 109 (May 2021): 104144. http://dx.doi.org/10.1016/j.imavis.2021.104144.
Повний текст джерелаSun, Linhui, Yifan Zhang, Jian Cheng, and Hanqing Lu. "Asynchronous Event Processing with Local-Shift Graph Convolutional Network." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 2 (June 26, 2023): 2402–10. http://dx.doi.org/10.1609/aaai.v37i2.25336.
Повний текст джерелаZeng, Hui, Chaojie Jiang, Yuanchun Lan, Xiaohui Huang, Junyang Wang, and Xinhua Yuan. "Long Short-Term Fusion Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting." Electronics 12, no. 1 (January 3, 2023): 238. http://dx.doi.org/10.3390/electronics12010238.
Повний текст джерелаGLAVAŠ, GORAN, and JAN ŠNAJDER. "Construction and evaluation of event graphs." Natural Language Engineering 21, no. 4 (May 1, 2014): 607–52. http://dx.doi.org/10.1017/s1351324914000060.
Повний текст джерелаFang, Junhua, Jiafeng Ding, Pengpeng Zhao, Jiajie Xu, An Liu, and Zhixu Li. "Distributed and parallel processing for real-time and dynamic spatio-temporal graph." World Wide Web 23, no. 2 (November 18, 2019): 905–26. http://dx.doi.org/10.1007/s11280-019-00741-6.
Повний текст джерелаKörner, Christof, Margit Höfler, Barbara Tröbinger, and Iain D. Gilchrist. "Eye Movements Indicate the Temporal Organisation of Information Processing in Graph Comprehension." Applied Cognitive Psychology 28, no. 3 (February 12, 2014): 360–73. http://dx.doi.org/10.1002/acp.3006.
Повний текст джерелаWang, Xiaojuan, Ziliang Gan, Lei Jin, Yabo Xiao, and Mingshu He. "Adaptive Multi-Scale Difference Graph Convolution Network for Skeleton-Based Action Recognition." Electronics 12, no. 13 (June 28, 2023): 2852. http://dx.doi.org/10.3390/electronics12132852.
Повний текст джерелаKerracher, Natalie, Jessie Kennedy, and Kevin Chalmers. "A Task Taxonomy for Temporal Graph Visualisation." IEEE Transactions on Visualization and Computer Graphics 21, no. 10 (October 1, 2015): 1160–72. http://dx.doi.org/10.1109/tvcg.2015.2424889.
Повний текст джерелаEl rai, Marwa Chendeb, Muna Darweesh, and Mina Al-Saad. "Semi-Supervised Segmentation of Echocardiography Videos Using Graph Signal Processing." Electronics 11, no. 21 (October 26, 2022): 3462. http://dx.doi.org/10.3390/electronics11213462.
Повний текст джерелаXue, Jizhong, Zaohui Kang, Chun Sing Lai, Yu Wang, Fangyuan Xu, and Haoliang Yuan. "Distributed Generation Forecasting Based on Rolling Graph Neural Network (ROLL-GNN)." Energies 16, no. 11 (May 31, 2023): 4436. http://dx.doi.org/10.3390/en16114436.
Повний текст джерелаLiu, Zhi, Jixin Bian, Deju Zhang, Yang Chen, Guojiang Shen, and Xiangjie Kong. "Dynamic Multi-View Coupled Graph Convolution Network for Urban Travel Demand Forecasting." Electronics 11, no. 16 (August 21, 2022): 2620. http://dx.doi.org/10.3390/electronics11162620.
Повний текст джерелаLi, Tingwei, Ruiwen Zhang, and Qing Li. "A Novel Graph Representation for Skeleton-based Action Recognition." Signal & Image Processing : An International Journal 11, no. 6 (December 30, 2020): 65–73. http://dx.doi.org/10.5121/sipij.2020.11605.
Повний текст джерелаLi, Chaoyue, Lian Zou, Cien Fan, Hao Jiang, and Yifeng Liu. "Multi-Stage Attention-Enhanced Sparse Graph Convolutional Network for Skeleton-Based Action Recognition." Electronics 10, no. 18 (September 8, 2021): 2198. http://dx.doi.org/10.3390/electronics10182198.
Повний текст джерелаBinsfeld Gonçalves, Laurent, Ivan Nesic, Marko Obradovic, Bram Stieltjes, Thomas Weikert, and Jens Bremerich. "Natural Language Processing and Graph Theory: Making Sense of Imaging Records in a Novel Representation Frame." JMIR Medical Informatics 10, no. 12 (December 21, 2022): e40534. http://dx.doi.org/10.2196/40534.
Повний текст джерелаTomei, Matteo, Lorenzo Baraldi, Simone Calderara, Simone Bronzin, and Rita Cucchiara. "Video action detection by learning graph-based spatio-temporal interactions." Computer Vision and Image Understanding 206 (May 2021): 103187. http://dx.doi.org/10.1016/j.cviu.2021.103187.
Повний текст джерелаWang, Daocheng, Chao Chen, Chong Di, and Minglei Shu. "Exploring Behavior Patterns for Next-POI Recommendation via Graph Self-Supervised Learning." Electronics 12, no. 8 (April 20, 2023): 1939. http://dx.doi.org/10.3390/electronics12081939.
Повний текст джерелаLi, Huiyong, Xiaofeng Wu, and Yanhong Wang. "Dynamic Performance Analysis of STEP System in Internet of Vehicles Based on Queuing Theory." Computational Intelligence and Neuroscience 2022 (April 10, 2022): 1–13. http://dx.doi.org/10.1155/2022/8322029.
Повний текст джерелаKaruza, Elisabeth A., Ari E. Kahn, and Danielle S. Bassett. "Human Sensitivity to Community Structure Is Robust to Topological Variation." Complexity 2019 (February 11, 2019): 1–8. http://dx.doi.org/10.1155/2019/8379321.
Повний текст джерелаBayram, Ulya, Runia Roy, Aqil Assalil, and Lamia BenHiba. "The unknown knowns: a graph-based approach for temporal COVID-19 literature mining." Online Information Review 45, no. 4 (March 23, 2021): 687–708. http://dx.doi.org/10.1108/oir-12-2020-0562.
Повний текст джерелаCarrillo, Rafael E., Martin Leblanc, Baptiste Schubnel, Renaud Langou, Cyril Topfel, and Pierre-Jean Alet. "High-Resolution PV Forecasting from Imperfect Data: A Graph-Based Solution." Energies 13, no. 21 (November 3, 2020): 5763. http://dx.doi.org/10.3390/en13215763.
Повний текст джерелаAqil, Marco, Selen Atasoy, Morten L. Kringelbach, and Rikkert Hindriks. "Graph neural fields: A framework for spatiotemporal dynamical models on the human connectome." PLOS Computational Biology 17, no. 1 (January 28, 2021): e1008310. http://dx.doi.org/10.1371/journal.pcbi.1008310.
Повний текст джерелаGuda, Vanitha, and SureshKumar Sanampudi. "Event Time Relationship in Natural Language Text." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 7, no. 3 (September 25, 2019): 4. http://dx.doi.org/10.3991/ijes.v7i3.10985.
Повний текст джерелаHuang, Xiaohui, Yuanchun Lan, Yuming Ye, Junyang Wang, and Yuan Jiang. "Traffic Flow Prediction Based on Multi-Mode Spatial-Temporal Convolution of Mixed Hop Diffuse ODE." Electronics 11, no. 19 (September 22, 2022): 3012. http://dx.doi.org/10.3390/electronics11193012.
Повний текст джерелаGhosh, Dipon Kumar, Amitabha Chakrabarty, Hyeonjoon Moon, and M. Jalil Piran. "A Spatio-Temporal Graph Convolutional Network Model for Internet of Medical Things (IoMT)." Sensors 22, no. 21 (November 2, 2022): 8438. http://dx.doi.org/10.3390/s22218438.
Повний текст джерелаHe, Jiatong, Jia Cui, Gaobo Zhang, Mingrui Xue, Dengyu Chu, and Yanna Zhao. "Spatial–temporal seizure detection with graph attention network and bi-directional LSTM architecture." Biomedical Signal Processing and Control 78 (September 2022): 103908. http://dx.doi.org/10.1016/j.bspc.2022.103908.
Повний текст джерелаZhao, Mengyao, Zhengping Hu, Shufang Li, Shuai Bi, and Zhe Sun. "Two-stream graph convolutional neural network fusion for weakly supervised temporal action detection." Signal, Image and Video Processing 16, no. 4 (October 11, 2021): 947–54. http://dx.doi.org/10.1007/s11760-021-02039-5.
Повний текст джерелаShuai, Wenjing, Fenlong Jiang, Hanhong Zheng, and Jianzhao Li. "MSGATN: A Superpixel-Based Multi-Scale Siamese Graph Attention Network for Change Detection in Remote Sensing Images." Applied Sciences 12, no. 10 (May 20, 2022): 5158. http://dx.doi.org/10.3390/app12105158.
Повний текст джерелаWu, Lei, Yong Tang, Pei Zhang, and Ying Zhou. "Spatio-Temporal Heterogeneous Graph Neural Networks for Estimating Time of Travel." Electronics 12, no. 6 (March 8, 2023): 1293. http://dx.doi.org/10.3390/electronics12061293.
Повний текст джерелаCao, Yibo, Lu Liu, and Yuhan Dong. "Convolutional Long Short-Term Memory Two-Dimensional Bidirectional Graph Convolutional Network for Taxi Demand Prediction." Sustainability 15, no. 10 (May 11, 2023): 7903. http://dx.doi.org/10.3390/su15107903.
Повний текст джерелаHuang, Wanrong, Xiaodong Yi, Yichun Sun, Yingwen Liu, Shuai Ye, and Hengzhu Liu. "Scalable Parallel Distributed Coprocessor System for Graph Searching Problems with Massive Data." Scientific Programming 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/1496104.
Повний текст джерелаRozhdestvenskaya, К. N. "Temporal analysis of a control system in a data processing network." Information and Control Systems, no. 1 (February 19, 2019): 32–39. http://dx.doi.org/10.31799/1684-8853-2019-1-32-39.
Повний текст джерелаPang, Shiyan, Xiangyun Hu, Mi Zhang, Zhongliang Cai, and Fengzhu Liu. "Co-Segmentation and Superpixel-Based Graph Cuts for Building Change Detection from Bi-Temporal Digital Surface Models and Aerial Images." Remote Sensing 11, no. 6 (March 26, 2019): 729. http://dx.doi.org/10.3390/rs11060729.
Повний текст джерелаDo, M., and S. Kambhampati. "SAPA: A Multi-objective Metric Temporal Planner." Journal of Artificial Intelligence Research 20 (December 1, 2003): 155–94. http://dx.doi.org/10.1613/jair.1156.
Повний текст джерелаSighencea, Bogdan Ilie, Ion Rareș Stanciu, and Cătălin Daniel Căleanu. "D-STGCN: Dynamic Pedestrian Trajectory Prediction Using Spatio-Temporal Graph Convolutional Networks." Electronics 12, no. 3 (January 26, 2023): 611. http://dx.doi.org/10.3390/electronics12030611.
Повний текст джерелаWeghenkel, Björn, and Laurenz Wiskott. "Slowness as a Proxy for Temporal Predictability: An Empirical Comparison." Neural Computation 30, no. 5 (May 2018): 1151–79. http://dx.doi.org/10.1162/neco_a_01070.
Повний текст джерелаShi, Yong, Yang Xiao, Pei Quan, MingLong Lei, and Lingfeng Niu. "Document-level relation extraction via graph transformer networks and temporal convolutional networks." Pattern Recognition Letters 149 (September 2021): 150–56. http://dx.doi.org/10.1016/j.patrec.2021.06.012.
Повний текст джерелаPan, Chengsheng, Jiang Zhu, Zhixiang Kong, Huaifeng Shi, and Wensheng Yang. "DC-STGCN: Dual-Channel Based Graph Convolutional Networks for Network Traffic Forecasting." Electronics 10, no. 9 (April 24, 2021): 1014. http://dx.doi.org/10.3390/electronics10091014.
Повний текст джерелаFeng, Yongliang. "Air Quality Prediction Model Using Deep Learning in Internet of Things Environmental Monitoring System." Mobile Information Systems 2022 (September 29, 2022): 1–9. http://dx.doi.org/10.1155/2022/7221157.
Повний текст джерелаHu, Zhiqiu, Fengjing Shao, and Rencheng Sun. "A New Perspective on Traffic Flow Prediction: A Graph Spatial-Temporal Network with Complex Network Information." Electronics 11, no. 15 (August 4, 2022): 2432. http://dx.doi.org/10.3390/electronics11152432.
Повний текст джерелаZhu, Qilin, Hongmin Deng, and Kaixuan Wang. "Skeleton Action Recognition Based on Temporal Gated Unit and Adaptive Graph Convolution." Electronics 11, no. 18 (September 19, 2022): 2973. http://dx.doi.org/10.3390/electronics11182973.
Повний текст джерелаZhong, Yang Jun, and Qian Cai. "A Novel Registration Approach for Mammograms Based on SIFT and Graph Transformation." Applied Mechanics and Materials 157-158 (February 2012): 1313–19. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.1313.
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