2021
Residual2Vec: Debiasing graph embedding with random graphs
NeurIPS 2021poster
Graph embedding maps a graph into a convenient vector-space representation for graph analysis and machine learning applications. Many graph embedding methods hinge on a sampling of context nodes based on random walks. However, random walks can be a biased sampler due to the structural properties of…