Journal articles on the topic 'Network data representation'
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R.Tamilarasu and G. Soundarya Devi. "Improvising Connection In 5g By Means Of Particle Swarm Optimization Techniques." South Asian Journal of Engineering and Technology 14, no. 2 (April 30, 2024): 1–6. http://dx.doi.org/10.26524/sajet.2023.14.2.
Full textYe, Zhonglin, Haixing Zhao, Ke Zhang, Yu Zhu, and Zhaoyang Wang. "An Optimized Network Representation Learning Algorithm Using Multi-Relational Data." Mathematics 7, no. 5 (May 21, 2019): 460. http://dx.doi.org/10.3390/math7050460.
Full textArmenta, Marco, and Pierre-Marc Jodoin. "The Representation Theory of Neural Networks." Mathematics 9, no. 24 (December 13, 2021): 3216. http://dx.doi.org/10.3390/math9243216.
Full textAristizábal Q, Luz Angela, and Nicolás Toro G. "Multilayer Representation and Multiscale Analysis on Data Networks." International journal of Computer Networks & Communications 13, no. 3 (May 31, 2021): 41–55. http://dx.doi.org/10.5121/ijcnc.2021.13303.
Full textNguyễn, Tuấn, Nguyen Hai Hao, Dang Le Dinh Trang, Nguyen Van Tuan, and Cao Van Loi. "Robust anomaly detection methods for contamination network data." Journal of Military Science and Technology, no. 79 (May 19, 2022): 41–51. http://dx.doi.org/10.54939/1859-1043.j.mst.79.2022.41-51.
Full textDu, Xin, Yulong Pei, Wouter Duivesteijn, and Mykola Pechenizkiy. "Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 3809–16. http://dx.doi.org/10.1609/aaai.v34i04.5792.
Full textDongming Chen, Dongming Chen, Mingshuo Nie Dongming Chen, Jiarui Yan Mingshuo Nie, Jiangnan Meng Jiarui Yan, and Dongqi Wang Jiangnan Meng. "Network Representation Learning Algorithm Based on Community Folding." 網際網路技術學刊 23, no. 2 (March 2022): 415–23. http://dx.doi.org/10.53106/160792642022032302020.
Full textZhang, Xiaoxian, Jianpei Zhang, and Jing Yang. "Large-scale dynamic social data representation for structure feature learning." Journal of Intelligent & Fuzzy Systems 39, no. 4 (October 21, 2020): 5253–62. http://dx.doi.org/10.3233/jifs-189010.
Full textKapoor, Maya, Michael Napolitano, Jonathan Quance, Thomas Moyer, and Siddharth Krishnan. "Detecting VoIP Data Streams: Approaches Using Hidden Representation Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 13 (June 26, 2023): 15519–27. http://dx.doi.org/10.1609/aaai.v37i13.26840.
Full textGiannarakis, Nick, Alexandra Silva, and David Walker. "ProbNV: probabilistic verification of network control planes." Proceedings of the ACM on Programming Languages 5, ICFP (August 22, 2021): 1–30. http://dx.doi.org/10.1145/3473595.
Full textHyvönen, Jörkki, Jari Saramäki, and Kimmo Kaski. "Efficient data structures for sparse network representation." International Journal of Computer Mathematics 85, no. 8 (August 2008): 1219–33. http://dx.doi.org/10.1080/00207160701753629.
Full textWong, S. V., and A. M. S. Hamouda. "Machinability data representation with artificial neural network." Journal of Materials Processing Technology 138, no. 1-3 (July 2003): 538–44. http://dx.doi.org/10.1016/s0924-0136(03)00143-2.
Full textBuckles, Bill P., Frederick E. Petry, and Jayadev Pillai. "Network data models for representation of uncertainty." Fuzzy Sets and Systems 38, no. 2 (November 1990): 171–90. http://dx.doi.org/10.1016/0165-0114(90)90148-y.
Full textZhan, Huixin, and Victor S. Sheng. "Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 13 (June 26, 2023): 16143–44. http://dx.doi.org/10.1609/aaai.v37i13.26932.
Full textZhang, Hu, Jingjing Zhou, Ru Li, and Yue Fan. "Network representation learning method embedding linear and nonlinear network structures." Semantic Web 13, no. 3 (April 6, 2022): 511–26. http://dx.doi.org/10.3233/sw-212968.
Full textVernon, Matthew C., and Matt J. Keeling. "Representing the UK's cattle herd as static and dynamic networks." Proceedings of the Royal Society B: Biological Sciences 276, no. 1656 (October 14, 2008): 469–76. http://dx.doi.org/10.1098/rspb.2008.1009.
Full textIddianozie, Chidubem, and Gavin McArdle. "Towards Robust Representations of Spatial Networks Using Graph Neural Networks." Applied Sciences 11, no. 15 (July 27, 2021): 6918. http://dx.doi.org/10.3390/app11156918.
Full textHu, Hao, Mengya Gao, and Mingsheng Wu. "Relieving the Incompatibility of Network Representation and Classification for Long-Tailed Data Distribution." Computational Intelligence and Neuroscience 2021 (December 27, 2021): 1–10. http://dx.doi.org/10.1155/2021/6702625.
Full textXu, Jian, Thanuka L. Wickramarathne, and Nitesh V. Chawla. "Representing higher-order dependencies in networks." Science Advances 2, no. 5 (May 2016): e1600028. http://dx.doi.org/10.1126/sciadv.1600028.
Full textZhang, Yixin, Lizhen Cui, Wei He, Xudong Lu, and Shipeng Wang. "Behavioral data assists decisions: exploring the mental representation of digital-self." International Journal of Crowd Science 5, no. 2 (July 26, 2021): 185–203. http://dx.doi.org/10.1108/ijcs-03-2021-0011.
Full textDecker, Kevin T., and Brett J. Borghetti. "Hyperspectral Point Cloud Projection for the Semantic Segmentation of Multimodal Hyperspectral and Lidar Data with Point Convolution-Based Deep Fusion Neural Networks." Applied Sciences 13, no. 14 (July 14, 2023): 8210. http://dx.doi.org/10.3390/app13148210.
Full textLiang, Sen, Zhi-ze Zhou, Yu-dong Guo, Xuan Gao, Ju-yong Zhang, and Hu-jun Bao. "Facial landmark disentangled network with variational autoencoder." Applied Mathematics-A Journal of Chinese Universities 37, no. 2 (June 2022): 290–305. http://dx.doi.org/10.1007/s11766-022-4589-0.
Full textCraven, Mark W., and Jude W. Shavlik. "Understanding Time-Series Networks: A Case Study in Rule Extraction." International Journal of Neural Systems 08, no. 04 (August 1997): 373–84. http://dx.doi.org/10.1142/s0129065797000380.
Full textBast, Hannah, and Sabine Storandt. "Frequency Data Compression for Public Transportation Network Algorithms (Extended Abstract)." Proceedings of the International Symposium on Combinatorial Search 4, no. 1 (August 20, 2021): 205–6. http://dx.doi.org/10.1609/socs.v4i1.18302.
Full textXu, Liang, Yue Zhao, Xiaona Xu, Yigang Liu, and Qiang Ji. "Latent Regression Bayesian Network for Speech Representation." Electronics 12, no. 15 (August 4, 2023): 3342. http://dx.doi.org/10.3390/electronics12153342.
Full textNaseer, Sheraz, Rao Faizan Ali, P. D. D. Dominic, and Yasir Saleem. "Learning Representations of Network Traffic Using Deep Neural Networks for Network Anomaly Detection: A Perspective towards Oil and Gas IT Infrastructures." Symmetry 12, no. 11 (November 16, 2020): 1882. http://dx.doi.org/10.3390/sym12111882.
Full textGatts, C., and A. Mariano. "Data Categorization and Neural Pattern Recognition." Microscopy and Microanalysis 3, S2 (August 1997): 933–34. http://dx.doi.org/10.1017/s1431927600011557.
Full textAltuntas, Volkan. "NodeVector: A Novel Network Node Vectorization with Graph Analysis and Deep Learning." Applied Sciences 14, no. 2 (January 16, 2024): 775. http://dx.doi.org/10.3390/app14020775.
Full textZhang, Ye, Yanqi Gao, Yupeng Zhou, Jianan Wang, and Minghao Yin. "MRMLREC: A Two-Stage Approach for Addressing Data Sparsity in MOOC Video Recommendation (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 21 (March 24, 2024): 23709–11. http://dx.doi.org/10.1609/aaai.v38i21.30536.
Full textMilano, Marianna, Giuseppe Agapito, and Mario Cannataro. "Challenges and Limitations of Biological Network Analysis." BioTech 11, no. 3 (July 7, 2022): 24. http://dx.doi.org/10.3390/biotech11030024.
Full textRossi, R. A., L. K. McDowell, D. W. Aha, and J. Neville. "Transforming Graph Data for Statistical Relational Learning." Journal of Artificial Intelligence Research 45 (October 30, 2012): 363–441. http://dx.doi.org/10.1613/jair.3659.
Full textZhang, Sen, Shaobo Li, Xiang Li, and Yong Yao. "Representation of Traffic Congestion Data for Urban Road Traffic Networks Based on Pooling Operations." Algorithms 13, no. 4 (April 2, 2020): 84. http://dx.doi.org/10.3390/a13040084.
Full textShcherbakov, A. V., V. G. Kharitonenko, A. I. Chuprov, and A. E. Gainov. "ENSURING DATA UNIQUENESS IN SEMANTIC NETWORKS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 228 (June 2023): 36–40. http://dx.doi.org/10.14489/vkit.2023.06.pp.036-040.
Full textHeo, Seongsil, Sungsik Kim, and Jaekoo Lee. "BIMO: Bootstrap Inter–Intra Modality at Once Unsupervised Learning for Multivariate Time Series." Applied Sciences 14, no. 9 (April 30, 2024): 3825. http://dx.doi.org/10.3390/app14093825.
Full textIdiart, Marco, Barry Berk, and L. F. Abbott. "Reduced Representation by Neural Networks with Restricted Receptive Fields." Neural Computation 7, no. 3 (May 1995): 507–17. http://dx.doi.org/10.1162/neco.1995.7.3.507.
Full textBautista, John Lorenzo, Yun Kyung Lee, and Hyun Soon Shin. "Speech Emotion Recognition Based on Parallel CNN-Attention Networks with Multi-Fold Data Augmentation." Electronics 11, no. 23 (November 28, 2022): 3935. http://dx.doi.org/10.3390/electronics11233935.
Full textLiu, Hao, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, and Hui Xiong. "Multi-modal transportation recommendation with unified route representation learning." Proceedings of the VLDB Endowment 14, no. 3 (November 2020): 342–50. http://dx.doi.org/10.14778/3430915.3430924.
Full textZhang, Kainan, Zhipeng Cai, and Daehee Seo. "Privacy-Preserving Federated Graph Neural Network Learning on Non-IID Graph Data." Wireless Communications and Mobile Computing 2023 (February 3, 2023): 1–13. http://dx.doi.org/10.1155/2023/8545101.
Full textWang, Jing, Songhe Feng, Gengyu Lyu, and Jiazheng Yuan. "SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 14 (March 24, 2024): 15520–27. http://dx.doi.org/10.1609/aaai.v38i14.29478.
Full textPoulton, Mary M., Ben K. Sternberg, and Charles E. Glass. "Location of subsurface targets in geophysical data using neural networks." GEOPHYSICS 57, no. 12 (December 1992): 1534–44. http://dx.doi.org/10.1190/1.1443221.
Full textBartsev, S. I., P. M. Baturina, and G. M. Markova. "Neural Network-Based Decoding Input Stimulus Data Based on Recurrent Neural Network Neural Activity Pattern." Doklady Biological Sciences 502, no. 1 (March 17, 2022): 1–5. http://dx.doi.org/10.1134/s001249662201001x.
Full textLiu, Xinlong, Chu He, Dehui Xiong, and Mingsheng Liao. "Pattern Statistics Network for Classification of High-Resolution SAR Images." Remote Sensing 11, no. 16 (August 20, 2019): 1942. http://dx.doi.org/10.3390/rs11161942.
Full textYe, Zhonglin, Haixing Zhao, Ke Zhang, and Yu Zhu. "Multi-View Network Representation Learning Algorithm Research." Algorithms 12, no. 3 (March 12, 2019): 62. http://dx.doi.org/10.3390/a12030062.
Full textSun, Hanlin, Wei Jie, Jonathan Loo, Liang Chen, Zhongmin Wang, Sugang Ma, Gang Li, and Shuai Zhang. "Network Representation Learning Enhanced by Partial Community Information That Is Found Using Game Theory." Information 12, no. 5 (April 25, 2021): 186. http://dx.doi.org/10.3390/info12050186.
Full textMonterubbiano, Andrea, Raphael Azorin, Gabriele Castellano, Massimo Gallo, Salvatore Pontarelli, and Dario Rossi. "SPADA: A Sparse Approximate Data Structure Representation for Data Plane Per-flow Monitoring." Proceedings of the ACM on Networking 1, CoNEXT3 (November 27, 2023): 1–25. http://dx.doi.org/10.1145/3629149.
Full textKominakis, A. P. "Graph analysis of animals' pedigrees." Archives Animal Breeding 44, no. 5 (October 10, 2001): 521–30. http://dx.doi.org/10.5194/aab-44-521-2001.
Full textTu, Wenxuan, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, and Jieren Cheng. "Deep Fusion Clustering Network." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 11 (May 18, 2021): 9978–87. http://dx.doi.org/10.1609/aaai.v35i11.17198.
Full textTian, Hao, and Reza Zafarani. "Higher-Order Networks Representation and Learning: A Survey." ACM SIGKDD Explorations Newsletter 26, no. 1 (July 24, 2024): 1–18. http://dx.doi.org/10.1145/3682112.3682114.
Full textEsser, Pascal, Maximilian Fleissner, and Debarghya Ghoshdastidar. "Non-parametric Representation Learning with Kernels." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 11 (March 24, 2024): 11910–18. http://dx.doi.org/10.1609/aaai.v38i11.29077.
Full textJing, Dongsheng, Yu Yang, Zhimin Gu, Renjun Feng, Yan Li, and Haitao Jiang. "Multi-Feature Fusion in Graph Convolutional Networks for Data Network Propagation Path Tracing." Electronics 13, no. 17 (August 28, 2024): 3412. http://dx.doi.org/10.3390/electronics13173412.
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