Graph Convolutional Neural Network based on the Combination of Multiple Heterogeneous Graphs.
Caihong MuHeyuan HuangYi LiuJiashen LuoPublished in: ICDM (Workshops) (2022)
Keyphrases
- graph theory
- graph representation
- graph databases
- graph matching
- weighted graph
- graph mining
- directed graph
- graph theoretic
- neural network
- graph partitioning
- graph model
- graph classification
- subgraph isomorphism
- graph isomorphism
- graph structure
- combining multiple
- bipartite graph
- graph construction
- graph structures
- adjacency matrix
- graph properties
- graph theoretical
- edge weights
- structural pattern recognition
- evolving graphs
- directed acyclic
- massive graphs
- proximity graph
- inexact graph matching
- series parallel
- random graphs
- graph clustering
- small world
- undirected graph
- spanning tree
- attributed graphs
- maximal cliques
- social graphs
- average degree
- graph drawing
- reachability queries
- connected components
- finding the shortest path
- structured data