ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks.
Liang QuHuaisheng ZhuRuiqi ZhengYuhui ShiHongzhi YinPublished in: CoRR (2021)
Keyphrases
- network structure
- sparsely connected
- fully connected
- complex networks
- dynamic networks
- average degree
- network model
- highly connected
- link formation
- small world
- network design
- network size
- network parameters
- computer networks
- network topologies
- scale free
- overlapping communities
- clustering coefficient
- degree distribution
- community structure
- real world social networks
- social networks
- path length
- citation networks
- heterogeneous networks
- small world networks
- counter propagation
- directed edges
- community discovery
- real world networks
- network resources
- random walk
- cellular networks
- transport network
- link prediction
- network analysis
- protein interaction networks
- spanning tree
- peer to peer
- telecommunication networks
- social network analysis
- network traffic
- communication networks
- graph theory
- community detection
- network nodes
- graphical representation
- centrality measures
- graph embedding
- edge weights
- information diffusion
- information networks
- random graphs
- connectionist networks
- weighted graph
- network properties
- bipartite graph
- vector space