Results 11 to 20 of about 98,441 (260)

Cascade Prediction With Self-Exciting Point Process and Local User Influence Measurement

Frontiers in Physics, 2022
With the rise and large-scale applications of social networking service, the prediction of information cascades has attracted extensive attention of researchers.
Yingsi Zhao, Chu Zhong
doaj   +1 more source

Can cascades be predicted? [PDF]

Proceedings of the 23rd international conference on World wide web, 2014
On many social networking web sites such as Facebook and Twitter, resharing or reposting functionality allows users to share others' content with their own friends or followers. As content is reshared from user to user, large cascades of reshares can form.
Justin Cheng, Lada A. Adamic, P. Alex Dow, Jon M. Kleinberg, Jure Leskovec   +4 more
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A comparison of methods for cascade prediction [PDF]

2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2016
8 pages, 29 figures, ASONAM 2016 (Industry Track)
Ruocheng Guo, Paulo Shakarian
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On the effectiveness of a contrastive cascade graph learning framework: The power of synthetic cascade data.

PLoS ONE, 2023
Analyzing the dynamics of information diffusion cascades and accurately predicting their behavior holds significant importance in various applications. In this paper, we concentrate specifically on a recently introduced contrastive cascade graph learning
Daiki Suzuki, Sho Tsugawa, Keiichiro Tsukamoto, Shintaro Igari   +3 more
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CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction

CoRR, 2022
AKBC ...
Tara Safavi, Doug Downey, Tom Hope
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Prediction of Transonic Flow over Cascades via Graph Embedding Methods on Large-Scale Point Clouds

Aerospace, 2023
In this research, we introduce a deep-learning-based framework designed for the prediction of transonic flow through a linear cascade utilizing large-scale point-cloud data.
Xinyue Lan, Liyue Wang, Cong Wang, Gang Sun, Jinzhang Feng, Miao Zhang   +5 more
doaj   +1 more source

Public Opinion Early Warning Agent Model: A Deep Learning Cascade Virality Prediction Model Based on Multi-Feature Fusion

Frontiers in Neurorobotics, 2021
With the rapid popularity of agent technology, a public opinion early warning agent has attracted wide attention. Furthermore, a deep learning model can make the agent more automatic and efficient.
Liqun Gao, Yujia Liu, Hongwu Zhuang, Haiyang Wang, Bin Zhou, Aiping Li   +5 more
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Effect of different spatial resolutions and land surface parameterization schemes on the short-term climate prediction in the Yangtze River basin

Shui kexue jinzhan, 2016
In this paper, we predict the air temperature and precipitation of the Yangtze River basin in five years with abnormal precipitation by the Regional Climate Model (RegCM4.5).
ZHANG Lujun, WANG Le, XING Wenhui, HUANG Yong, ZHANG Yaqi, LIU Shudi   +5 more
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Reliability Prediction of CNC Machine Tool Spindle Based on Optimized Cascade Feedforward Neural Network

IEEE Access, 2021
Aiming at the large error of traditional reliability prediction method, and the defects of BP neural network prediction method, a new method of optimized cascade feedforward neural network was proposed based on Adam algorithm to predict the reliability ...
Wang Xiao Yan, Wang Pin, Lang He
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PredCNN: Predictive Learning with Cascade Convolutions [PDF]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Predicting future frames in videos remains an unsolved but challenging problem. Mainstream recurrent models suffer from huge memory usage and computation cost, while convolutional models are unable to effectively capture the temporal dependencies between consecutive video frames.
Ziru Xu, Yunbo Wang, Mingsheng Long, Jianmin Wang 0001   +3 more
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