90 citations · 200 across the 28 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CE2018
Deep Co-investment Network Learning for Financial Assets
Yue Wang, Chenwei Zhang, Shen Wang +3
Most recent works model the market structure of the stock market as a correlation network of the stocks. They apply pre-defined patterns to extract correlation information from the…
cs.LG2018
Identifying The Most Informative Features Using A Structurally Interacting Elastic Net
Lixin Cui, Lu Bai, Zhihong Zhang +2
Feature selection can efficiently identify the most informative features with respect to the target feature used in training. However, state-of-the-art vector-based methods are una…
cs.LG2018★ 44 cited
Graph Convolutional Neural Networks based on Quantum Vertex Saliency
Lu Bai, Yuhang Jiao, Luca Rossi +3
This paper proposes a new Quantum Spatial Graph Convolutional Neural Network (QSGCNN) model that can directly learn a classification function for graphs of arbitrary sizes. Unlike…