Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks.
Huixuan ChiYuying WangQinfen HaoHong XiaPublished in: CoRR (2021)
Keyphrases
- overlapping communities
- path length
- network nodes
- network structure
- degree distribution
- dynamic networks
- small world
- community structure
- network size
- complex networks
- directed graph
- neighboring nodes
- edge weights
- network topologies
- social networks
- heterogeneous social networks
- clustering coefficient
- densely connected
- sparsely connected
- fully connected
- betweenness centrality
- small world networks
- real world networks
- network model
- scale free
- graph structure
- average degree
- highly connected
- computer networks
- community discovery
- centrality measures
- network design
- source node
- link formation
- heterogeneous networks
- network analysis
- destination node
- citation networks
- network parameters
- network resources
- mobile nodes
- power law
- criminal networks
- nodes of a graph
- wavelength division multiplexing
- feature selection
- decision trees
- random walk
- link prediction
- weighted graph
- strongly connected
- feature space
- finding the shortest path
- shortest path
- social network analysis
- network architecture
- mobile networks
- information diffusion
- network evolution
- optical networks
- graph theory
- bipartite graph
- community detection
- link failure
- wireless sensor networks
- random graphs
- network coding