Articoli di riviste sul tema "Dynamic Graph Metrics"
Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili
Vedi i top-50 articoli di riviste per l'attività di ricerca sul tema "Dynamic Graph Metrics".
Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.
Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.
Vedi gli articoli di riviste di molte aree scientifiche e compila una bibliografia corretta.
Sizemore, Ann E., e Danielle S. Bassett. "Dynamic graph metrics: Tutorial, toolbox, and tale". NeuroImage 180 (ottobre 2018): 417–27. http://dx.doi.org/10.1016/j.neuroimage.2017.06.081.
Testo completoDavis, Jacob D., e Eberhard O. Voit. "Metrics for regulated biochemical pathway systems". Bioinformatics 35, n. 12 (14 novembre 2018): 2118–24. http://dx.doi.org/10.1093/bioinformatics/bty942.
Testo completoSunarmodo, Wismu, e Bayu Distiawan Trisedya. "Anchored Self-Supervised Dynamic Graph Representation Learning for Aviation Data as A Fast Economic Indicator". International Journal on Advanced Science, Engineering and Information Technology 14, n. 6 (20 dicembre 2024): 1842–48. https://doi.org/10.18517/ijaseit.14.6.20170.
Testo completoAntal, Gábor, Zoltán Tóth, Péter Hegedűs e Rudolf Ferenc. "Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics". Technologies 9, n. 1 (30 dicembre 2020): 3. http://dx.doi.org/10.3390/technologies9010003.
Testo completoWang, Mingjie, Yifan Huo, Junhong Zheng e Lili He. "SC-TKGR: Temporal Knowledge Graph-Based GNN for Recommendations in Supply Chains". Electronics 14, n. 2 (7 gennaio 2025): 222. https://doi.org/10.3390/electronics14020222.
Testo completoRuf, Verena, Anna Horrer, Markus Berndt, Sarah Isabelle Hofer, Frank Fischer, Martin R. Fischer, Jan M. Zottmann, Jochen Kuhn e Stefan Küchemann. "A Literature Review Comparing Experts’ and Non-Experts’ Visual Processing of Graphs during Problem-Solving and Learning". Education Sciences 13, n. 2 (19 febbraio 2023): 216. http://dx.doi.org/10.3390/educsci13020216.
Testo completoLiu, Liu, Sibren Isaacman e Ulrich Kremer. "An Adaptive Application Framework with Customizable Quality Metrics". ACM Transactions on Design Automation of Electronic Systems 27, n. 2 (31 marzo 2022): 1–33. http://dx.doi.org/10.1145/3477428.
Testo completoYu, Mingqin, Fethi A. Rabhi e Madhushi Bandara. "Ontology-Driven Architecture for Managing Environmental, Social, and Governance Metrics". Electronics 13, n. 9 (29 aprile 2024): 1719. http://dx.doi.org/10.3390/electronics13091719.
Testo completoChen, Yuhang, Jiaxin Jiang, Shixuan Sun, Bingsheng He e Min Chen. "RUSH: Real-Time Burst Subgraph Detection in Dynamic Graphs". Proceedings of the VLDB Endowment 17, n. 11 (luglio 2024): 3657–65. http://dx.doi.org/10.14778/3681954.3682028.
Testo completoMu, Bo, Guohang Tian, Gengyu Xin, Miao Hu, Panpan Yang, Yiwen Wang, Hao Xie, Audrey L. Mayer e Yali Zhang. "Measuring Dynamic Changes in the Spatial Pattern and Connectivity of Surface Waters Based on Landscape and Graph Metrics: A Case Study of Henan Province in Central China". Land 10, n. 5 (1 maggio 2021): 471. http://dx.doi.org/10.3390/land10050471.
Testo completoCatal, Cagatay, Hakan Gunduz e Alper Ozcan. "Malware Detection Based on Graph Attention Networks for Intelligent Transportation Systems". Electronics 10, n. 20 (18 ottobre 2021): 2534. http://dx.doi.org/10.3390/electronics10202534.
Testo completoIglesias-Parro, Sergio, María F. Soriano, Antonio J. Ibáñez-Molina, Ana V. Pérez-Matres e Juan Ruiz de Miras. "Examining Neural Connectivity in Schizophrenia Using Task-Based EEG: A Graph Theory Approach". Sensors 23, n. 21 (25 ottobre 2023): 8722. http://dx.doi.org/10.3390/s23218722.
Testo completoLouca, L. S., e J. L. Stein. "Ideal physical element representation from reduced bond graphs". Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 216, n. 1 (1 febbraio 2002): 73–83. http://dx.doi.org/10.1243/0959651021541444.
Testo completoBopche, Ghanshyam S., e Babu M. Mehtre. "Graph similarity metrics for assessing temporal changes in attack surface of dynamic networks". Computers & Security 64 (gennaio 2017): 16–43. http://dx.doi.org/10.1016/j.cose.2016.09.010.
Testo completoLee, Hyeonbyeong, Bokyoung Shin, Dojin Choi, Jongtae Lim, Kyoungsoo Bok e Jaesoo Yoo. "Graph Stream Compression Scheme Based on Pattern Dictionary Using Provenance". Applied Sciences 14, n. 11 (25 maggio 2024): 4553. http://dx.doi.org/10.3390/app14114553.
Testo completoChai, Wenguang, Qingfeng Luo, Zhizhe Lin, Jingwen Yan, Jinglin Zhou e Teng Zhou. "Spatiotemporal Dynamic Multi-Hop Network for Traffic Flow Forecasting". Sustainability 16, n. 14 (9 luglio 2024): 5860. http://dx.doi.org/10.3390/su16145860.
Testo completoWenjuan Xiao, Wenjuan Xiao, e Xiaoming Wang Wenjuan Xiao. "Attention Mechanism Based Spatial-Temporal Graph Convolution Network for Traffic Prediction". 電腦學刊 35, n. 4 (agosto 2024): 093–108. http://dx.doi.org/10.53106/199115992024083504007.
Testo completoJiang, Yunke, e Xiaojuan Sun. "Efficient Workflow Scheduling in Edge Cloud-Enabled Space-Air-Ground-Integrated Information Systems". International Journal on Semantic Web and Information Systems 20, n. 1 (17 luglio 2024): 1–29. http://dx.doi.org/10.4018/ijswis.345935.
Testo completoSingh, Archana Tejprakash, Kaushlendra Sahu, Nishant Keshav e Harshit Sankhwar. "Feedback Analyzer for Employee Progress Graph". International Journal of Innovative Research in Advanced Engineering 11, n. 02 (10 febbraio 2024): 73–77. http://dx.doi.org/10.26562/ijirae.2024.v1102.02.
Testo completoHenry, Elise, Angelo Furno e Nour-Eddin El Faouzi. "Approach to Quantify the Impact of Disruptions on Traffic Conditions using Dynamic Weighted Resilience Metrics of Transport Networks". Transportation Research Record: Journal of the Transportation Research Board 2675, n. 4 (18 marzo 2021): 61–78. http://dx.doi.org/10.1177/0361198121998663.
Testo completoZhang, Yihe, Sheng Zhang, Jaime S. Ide, Sien Hu, Simon Zhornitsky, Wuyi Wang, Guozhao Dong, Xiaoying Tang e Chiang-shan R. Li. "Dynamic network dysfunction in cocaine dependence: Graph theoretical metrics and stop signal reaction time". NeuroImage: Clinical 18 (2018): 793–801. http://dx.doi.org/10.1016/j.nicl.2018.03.016.
Testo completoChen, Chin-Yi, e Jih-Jeng Huang. "Temporal-Guided Knowledge Graph-Enhanced Graph Convolutional Network for Personalized Movie Recommendation Systems". Future Internet 15, n. 10 (28 settembre 2023): 323. http://dx.doi.org/10.3390/fi15100323.
Testo completoCao, Yang, Detian Liu, Qizheng Yin, Fei Xue e Hengliang Tang. "MSASGCN : Multi-Head Self-Attention Spatiotemporal Graph Convolutional Network for Traffic Flow Forecasting". Journal of Advanced Transportation 2022 (17 giugno 2022): 1–15. http://dx.doi.org/10.1155/2022/2811961.
Testo completoElmezain, Mahmoud, Ebtesam A. Othman e Hani M. Ibrahim. "Temporal Degree-Degree and Closeness-Closeness: A New Centrality Metrics for Social Network Analysis". Mathematics 9, n. 22 (10 novembre 2021): 2850. http://dx.doi.org/10.3390/math9222850.
Testo completoLuo, L., Y. Yang, Q. Gong e F. Li. "Different alternations of static and dynamic brain regional topological metrics in schizophrenia and obsessive-compulsive disorder". European Psychiatry 64, S1 (aprile 2021): S522—S523. http://dx.doi.org/10.1192/j.eurpsy.2021.1397.
Testo completoShivangni Jat. "Graph Theoretical Models for Enhancing Highway Connectivity and Safety in Vehicular Networks". Communications on Applied Nonlinear Analysis 31, n. 4s (5 luglio 2024): 196–218. http://dx.doi.org/10.52783/cana.v31.839.
Testo completoPiao, Yinghao, e Jin-Xi Zhang. "Text Triplet Extraction Algorithm with Fused Graph Neural Networks and Improved Biaffine Attention Mechanism". Applied Sciences 14, n. 8 (22 aprile 2024): 3524. http://dx.doi.org/10.3390/app14083524.
Testo completoSighencea, Bogdan Ilie, Ion Rareș Stanciu e Cătălin Daniel Căleanu. "D-STGCN: Dynamic Pedestrian Trajectory Prediction Using Spatio-Temporal Graph Convolutional Networks". Electronics 12, n. 3 (26 gennaio 2023): 611. http://dx.doi.org/10.3390/electronics12030611.
Testo completoWang, Bingxing, Hongye Zheng, Yingbin Liang, Guanming Huang e Junliang Du. "Dual-Branch Dynamic Graph Convolutional Network for Robust Multi-Label Image Classification". International Journal of Innovative Research in Computer Science and Technology 12, n. 5 (settembre 2024): 94–99. http://dx.doi.org/10.55524/ijircst.2024.12.5.13.
Testo completoHan, Shi-Yuan, Qiang Zhao, Qi-Wei Sun, Jin Zhou e Yue-Hui Chen. "EnGS-DGR: Traffic Flow Forecasting with Indefinite Forecasting Interval by Ensemble GCN, Seq2Seq, and Dynamic Graph Reconfiguration". Applied Sciences 12, n. 6 (11 marzo 2022): 2890. http://dx.doi.org/10.3390/app12062890.
Testo completoLi, Shibo, Jiajun Xu, Xinqiang Chen, Yajie Zhang, Yiwen Zheng e Octavian Postolache. "Maritime Traffic Knowledge Discovery via Knowledge Graph Theory". Journal of Marine Science and Engineering 12, n. 12 (19 dicembre 2024): 2333. https://doi.org/10.3390/jmse12122333.
Testo completoWang, Zhiqiong, Zican Lin, Shuo Li, Yibo Wang, Weiying Zhong, Xinlei Wang e Junchang Xin. "Dynamic Multi-Task Graph Isomorphism Network for Classification of Alzheimer’s Disease". Applied Sciences 13, n. 14 (21 luglio 2023): 8433. http://dx.doi.org/10.3390/app13148433.
Testo completoPanilov, Pavel Alekseevich. "Cognitive Reframing in Anticipation and Prevention of Multiplex Threats to Critical Infrastructure". Virtual Communication and Social Networks 3, n. 4 (17 dicembre 2024): 316–25. https://doi.org/10.21603/2782-4799-2024-3-4-316-325.
Testo completoQiu, Dehong, Qifeng Zhang e Shaohong Fang. "Reconstructing Software High-Level Architecture by Clustering Weighted Directed Class Graph". International Journal of Software Engineering and Knowledge Engineering 25, n. 04 (maggio 2015): 701–26. http://dx.doi.org/10.1142/s0218194015500072.
Testo completoJoshi, Manas, Arshdeep Singh, Sayan Ranu, Amitabha Bagchi, Priyank Karia e Puneet Kala. "FoodMatch: Batching and Matching for Food Delivery in Dynamic Road Networks". ACM Transactions on Spatial Algorithms and Systems 8, n. 1 (31 marzo 2022): 1–25. http://dx.doi.org/10.1145/3494530.
Testo completoWu, Wenhong, e Yunkai Kang. "Ensemble Empirical Mode Decomposition Granger Causality Test Dynamic Graph Attention Transformer Network: Integrating Transformer and Graph Neural Network Models for Multi-Sensor Cross-Temporal Granularity Water Demand Forecasting". Applied Sciences 14, n. 8 (18 aprile 2024): 3428. http://dx.doi.org/10.3390/app14083428.
Testo completoPeng, Wei, Xiaopeng Hong, Haoyu Chen e Guoying Zhao. "Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching". Proceedings of the AAAI Conference on Artificial Intelligence 34, n. 03 (3 aprile 2020): 2669–76. http://dx.doi.org/10.1609/aaai.v34i03.5652.
Testo completoQu, Shuhui, Kasra Yazdani e Janghwan Lee. "32‐3: Heterogeneous Resource Constrained Reinforcement Learning Photolithography Scheduler with Heterogeneous Graph Attention Network". SID Symposium Digest of Technical Papers 55, n. 1 (giugno 2024): 417–20. http://dx.doi.org/10.1002/sdtp.17546.
Testo completoGeng, Shijie, Peng Gao, Moitreya Chatterjee, Chiori Hori, Jonathan Le Roux, Yongfeng Zhang, Hongsheng Li e Anoop Cherian. "Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers". Proceedings of the AAAI Conference on Artificial Intelligence 35, n. 2 (18 maggio 2021): 1415–23. http://dx.doi.org/10.1609/aaai.v35i2.16231.
Testo completoXu, Yi, Junjie Ou, Hui Xu e Luoyi Fu. "Temporal Knowledge Graph Reasoning with Historical Contrastive Learning". Proceedings of the AAAI Conference on Artificial Intelligence 37, n. 4 (26 giugno 2023): 4765–73. http://dx.doi.org/10.1609/aaai.v37i4.25601.
Testo completoAbbas, Khushnood, Alireza Abbasi, Shi Dong, Ling Niu, Liyong Chen e Bolun Chen. "A Novel Temporal Network-Embedding Algorithm for Link Prediction in Dynamic Networks". Entropy 25, n. 2 (31 gennaio 2023): 257. http://dx.doi.org/10.3390/e25020257.
Testo completoLiang, Qianhui, Anandhi Bharadwaj e Bu Sung Lee. "Interactive and Iterative Service-Composition-Based Approach to Flexible Information System Development". International Journal of Web Services Research 8, n. 4 (ottobre 2011): 81–107. http://dx.doi.org/10.4018/jwsr.2011100104.
Testo completoGeetanjali Kale (Rao). "BUGTGNN: Bayesian Uncertainty and Game Theory for Enhancing Graph Neural Networks through Mathematical Analysis". Advances in Nonlinear Variational Inequalities 28, n. 2 (9 ottobre 2024): 84–105. http://dx.doi.org/10.52783/anvi.v28.1853.
Testo completoLi, Yi, e Min Huang. "Identification of Critical Road Links Based on Static and Dynamic Features Fusion". Applied Sciences 13, n. 10 (13 maggio 2023): 5994. http://dx.doi.org/10.3390/app13105994.
Testo completoLu, Jiaming, Chuanyang Hong e Rui Wang. "MAGT-toll: A multi-agent reinforcement learning approach to dynamic traffic congestion pricing". PLOS ONE 19, n. 11 (18 novembre 2024): e0313828. http://dx.doi.org/10.1371/journal.pone.0313828.
Testo completoNazarevych, Valerii, Artem Mykytiuk, Olha Shevchuk e Ihor Kulyk. "A method of secure network traffic routing based on specified criterias". Collection "Information Technology and Security" 11, n. 2 (28 dicembre 2023): 156–65. http://dx.doi.org/10.20535/2411-1031.2023.11.2.293752.
Testo completoKoubiyr, Ismail, Mathilde Deloire, Pierre Besson, Pierrick Coupé, Cécile Dulau, Jean Pelletier, Thomas Tourdias et al. "Longitudinal study of functional brain network reorganization in clinically isolated syndrome". Multiple Sclerosis Journal 26, n. 2 (27 novembre 2018): 188–200. http://dx.doi.org/10.1177/1352458518813108.
Testo completoLong, Hao, Feng Hu e Lingjun Kong. "Enhanced Link Prediction and Traffic Load Balancing in Unmanned Aerial Vehicle-Based Cloud-Edge-Local Networks". Drones 8, n. 10 (27 settembre 2024): 528. http://dx.doi.org/10.3390/drones8100528.
Testo completoLi, Wei, Xi Zhan, Xin Liu, Lei Zhang, Yu Pan e Zhisong Pan. "SASTGCN: A Self-Adaptive Spatio-Temporal Graph Convolutional Network for Traffic Prediction". ISPRS International Journal of Geo-Information 12, n. 8 (18 agosto 2023): 346. http://dx.doi.org/10.3390/ijgi12080346.
Testo completoMasoud, Mohammad Z., Yousef Jaradat, Ismael Jannoud e Mustafa A. Al Sibahee. "A hybrid clustering routing protocol based on machine learning and graph theory for energy conservation and hole detection in wireless sensor network". International Journal of Distributed Sensor Networks 15, n. 6 (giugno 2019): 155014771985823. http://dx.doi.org/10.1177/1550147719858231.
Testo completo