Results 11 to 20 of about 283,560 (267)

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

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
doaj   +1 more source

A cascade information diffusion prediction model integrating topic features and cross-attention

Journal of King Saud University: Computer and Information Sciences, 2023
Information cascade prediction is a crucial task in social network analysis. However, previous research has only focused on the impact of social relationships on cascade information diffusion, while ignoring the differences caused by the characteristics ...
Xiaoyang Liu, Haotian Wang, Asgarali Bouyer   +2 more
doaj   +1 more source

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

Popularity Prediction of Online Contents via Cascade Graph and Temporal Information

Axioms, 2021
Predicting the popularity of online content is an important task for content recommendation, social influence prediction and so on. Recent deep learning models generally utilize graph neural networks to model the complex relationship between information ...
Yingdan Shang, Bin Zhou, Ye Wang, Aiping Li, Kai Chen, Yichen Song, Changjian Lin   +6 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
doaj   +1 more source

CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction

, 2022
AKBC ...
Safavi, Tara, Downey, Doug, Hope, Tom
openaire   +2 more sources

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
doaj   +1 more source

Validation of Numerical Computations and Turbulence Models Combinations for Gas Turbine Cascade Blade Flow [PDF]

Engineering and Technology Journal, 2011
The accuracy of computer codes for turbo-machinery turbulent flow field calculations relies strongly on the type and behavior of the turbulence model used in the computations.
Assim Yousif Hameed, Hakem Tarteb
doaj   +1 more source

An update on the double cascade scenario in two-dimensional turbulence [PDF]

, 2010
Statistical features of homogeneous, isotropic, two-dimensional turbulence is discussed on the basis of a set of direct numerical simulations up to the unprecedented resolution $32768^2$.
G. Boffetta, S. Musacchio, U. Frisch
core   +2 more sources