Yuliang Ji

Degree-Corrected Deep Single Graph Generation

This work introduces a graph generation method that incorporates graph-theoretic principles into the learning process and preserves both global and local characteristics of the input graph while correcting the degree distribution to avoid duplicating the original topology.