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07/03/2023
A Survey on Graph Classification and Link Prediction based on GNN
Traditional convolutional neural networks are limited to handling Euclid...
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03/17/2023
A New Covariate Selection Strategy for High Dimensional Data in Causal Effect Estimation with Multivariate Treatments
Selection of covariates is crucial in the estimation of average treatmen...
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03/13/2023
Weighted Euclidean balancing for a matrix exposure in estimating causal effect
In many scientific fields such as biology, psychology and sociology, the...
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10/20/2022
Single Image Super-Resolution Using Lightweight Networks Based on Swin Transformer
Image super-resolution reconstruction is an important task in the field ...
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05/18/2022
Causal Effect Estimation for Multivariate Continuous Treatments
Causal inference is widely used in various fields, such as biology, psyc...
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08/18/2020
RTFN: Robust Temporal Feature Network
Time series analysis plays a vital role in various applications, for ins...
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04/21/2020