27 citations · 52 across the 6 of their papers we have counts for
4 papers · 1 filter
SABER: A Semantic-Aligned Brain Network Analysis Framework via Multi-scale Hypergraphs
Yidan Xu, Xiangmin Han, Rundong Xue +1
Effective brain disease diagnosis requires the synergy of brain connectivity patterns and high-level semantic knowledge. Existing methods, however, largely treat semantics from lar…
GP-NAS-ensemble: a model for NAS Performance Prediction
Kunlong Chen, Liu Yang, Yitian Chen +3
It is of great significance to estimate the performance of a given model architecture without training in the application of Neural Architecture Search (NAS) as it may take a lot o…
PriorVAE: Encoding spatial priors with VAEs for small-area estimation
Elizaveta Semenova, Yidan Xu, Adam Howes +4
Gaussian processes (GPs), implemented through multivariate Gaussian distributions for a finite collection of data, are the most popular approach in small-area spatial statistical m…
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Qi Zhu, Carl Yang, Yidan Xu +3
Graph neural networks (GNNs) have achieved superior performance in various applications, but training dedicated GNNs can be costly for large-scale graphs. Some recent work started…