188 citations · 188 across the 4 of their papers we have counts for
4 papers
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks
Jiahao Liu, Guixiang Ma, Fei Jiang +3
Brain networks have received considerable attention given the critical significance for understanding human brain organization, for investigating neurological disorders and for cli…
FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation
Fei Jiang, Lei Zheng, Jin Xu +1
Graph representation learning aims at transforming graph data into meaningful low-dimensional vectors to facilitate the employment of machine learning and data mining algorithms de…
Spectral Collaborative Filtering
Lei Zheng, Chun-Ta Lu, Fei Jiang +2
Despite the popularity of Collaborative Filtering (CF), CF-based methods are haunted by the \textit{cold-start} problem, which has a significantly negative impact on users' experie…
On Spectral Graph Embedding: A Non-Backtracking Perspective and Graph Approximation
Fei Jiang, Lifang He, Yi Zheng +3
Graph embedding has been proven to be efficient and effective in facilitating graph analysis. In this paper, we present a novel spectral framework called NOn-Backtracking Embedding…