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cs.SI2018
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…
cs.SI2018
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…