PLSGAN: A Power-Law-modified Sequential Generative Adversarial Network for Graph Generation.
Qijie BaiYanting YinYining LianHaiwei ZhangXiaojie YuanPublished in: WISE (1) (2020)
Keyphrases
- power law
- small world
- degree distribution
- scale free
- clustering coefficient
- random graphs
- small world networks
- network structure
- preferential attachment
- real world graphs
- complex networks
- power laws
- power law distribution
- path length
- long range correlations
- social networks
- fully connected
- learning curves
- random walk
- undirected graph
- graph theory
- network evolution
- heavy tailed
- average degree
- connected components