24 citations · 110 across the 14 of their papers we have counts for
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cs.LG2018
Mixed-Order Spectral Clustering for Networks
Yan Ge, Haiping Lu, Pan Peng
Clustering is fundamental for gaining insights from complex networks, and spectral clustering (SC) is a popular approach. Conventional SC focuses on second-order structures (e.g.,…
cs.CV2018
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI
Wenwen Li, Jian Lou, Shuo Zhou +1
While functional magnetic resonance imaging (fMRI) is important for healthcare/neuroscience applications, it is challenging to classify or interpret due to its multi-dimensional st…
cs.LG2018★ 7 cited
Graph Node-Feature Convolution for Representation Learning
Li Zhang, Heda Song, Nikolaos Aletras +1
Graph convolutional network (GCN) is an emerging neural network approach. It learns new representation of a node by aggregating feature vectors of all neighbors in the aggregation…