DCGNN: Adaptive deep graph convolution for heterophily graphs.
Yang WuYu WangLiang HuJuncheng HuPublished in: Inf. Sci. (2024)
Keyphrases
- graph representation
- graph theory
- graph matching
- graph structure
- weighted graph
- graph mining
- labeled graphs
- directed graph
- graph construction
- graph structures
- adjacency matrix
- graph databases
- graph classification
- graph partitioning
- graph clustering
- graph theoretic
- graph search
- graph properties
- random graphs
- graph theoretical
- graph data
- graph model
- spanning tree
- graph representations
- graph kernels
- undirected graph
- bipartite graph
- series parallel
- subgraph isomorphism
- structural pattern recognition
- structured data
- graph isomorphism
- graph transformation
- reachability queries
- proximity graph
- edge weights
- web graph
- maximum clique
- real world graphs
- disk resident
- dense subgraphs
- graph patterns
- maximum independent set
- maximum common subgraph
- random walk
- adjacency graph
- neighborhood graph
- fully connected
- graph embedding
- connected dominating set
- evolving graphs
- minimum spanning tree
- bounded degree
- average degree
- planar graphs
- dynamic graph
- graph drawing
- community discovery
- dominating set
- quasi cliques
- maximal cliques
- shortest path
- social networks