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Fine-grained agent-based modeling to predict covid-19 spreading and effect of policies in large-scale scenarios
Modeling and forecasting the spread of COVID-19 remains an open problem for several
reasons. One of these concerns the difficulty to model a complex system at a high resolution …
reasons. One of these concerns the difficulty to model a complex system at a high resolution …
Graph convolution with topology refinement for automatic reinforcement learning
J Sang, Y Wang - Neurocomputing, 2023 - Elsevier
Reinforcement learning faces the challenge of sparse rewards. Existing research utilizes
reward sha** based on graph convolutional neural networks (GCNs) to address this …
reward sha** based on graph convolutional neural networks (GCNs) to address this …
Mobility in unsupervised word embeddings for knowledge extraction—The scholars' trajectories across research topics
In the knowledge discovery field of the Big Data domain the analysis of geographic
positioning and mobility information plays a key role. At the same time, in the Natural …
positioning and mobility information plays a key role. At the same time, in the Natural …
Lazy Network: A Word Embedding‐Based Temporal Financial Network to Avoid Economic Shocks in Asset Pricing Models
Public companies in the US stock market must annually report their activities and financial
performances to the SEC by filing the so‐called 10‐K form. Recent studies have …
performances to the SEC by filing the so‐called 10‐K form. Recent studies have …
Detecting Unknown Threat Based on Continuous‐Time Dynamic Heterogeneous Graph Network
P Gao, W Yang, H Zhang, X Wei… - Wireless …, 2022 - Wiley Online Library
Unknown threats have caused severe damage in critical infrastructures. To solve this issue,
the graph‐based methods have been proposed because of their ability for learning complex …
the graph‐based methods have been proposed because of their ability for learning complex …
[HTML][HTML] Crowdsourcing Knowledge Production of COVID-19 Information on Japanese Wikipedia in the Face of Uncertainty: Empirical Analysis
Background A worldwide overabundance of information comprising misinformation, rumors,
and propaganda concerning COVID-19 has been observed in addition to the pandemic. By …
and propaganda concerning COVID-19 has been observed in addition to the pandemic. By …
High-performance computing and abms for high-resolution covid-19 spreading simulation
This paper presents an approach for the modeling and the simulation of the spreading of
COVID-19 based on agent-based modeling and simulation (ABMS). Our goal is not only to …
COVID-19 based on agent-based modeling and simulation (ABMS). Our goal is not only to …