DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks.
Lei ZhangXiaodong YanJianshan HeRuopeng LiWei ChuPublished in: CoRR (2023)
Keyphrases
- dynamic networks
- evolving graphs
- deep learning
- social networks
- computer networks
- overlapping communities
- graph structures
- edge weights
- graph model
- graph mining
- weighted graph
- average degree
- graph theory
- directed graph
- connected components
- dynamic environments
- social graphs
- highly connected
- real world graphs
- graph representation
- fully connected
- graph theoretic
- graph structure
- complex networks
- random walk