Cluster information-driven graph convolutional networks for higher-order patterns prediction.
Junbo WangMei LiChengfeng LiuJianrui ChenPublished in: GAIIS (2024)
Keyphrases
- higher order
- structural patterns
- prediction accuracy
- clustering algorithm
- graph theory
- link formation
- data mining techniques
- fully connected
- graph structures
- directed graph
- high order
- graph databases
- graph data
- graph patterns
- random walk
- similar patterns
- small world
- social networks
- edge weights
- graph representation
- graph mining
- graph structure
- weighted graph
- data clustering
- pattern mining
- complex networks
- natural images
- network analysis
- bipartite graph
- prediction model
- dynamic graph
- average degree
- markov random field
- betweenness centrality
- data mining
- proximity graph
- densely connected
- real world graphs
- overlapping communities
- citation networks
- structured data
- sequential patterns
- power law
- sparse coding