Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks.
Fernando GamaElvin IsufiGeert LeusAlejandro RibeiroPublished in: IEEE Signal Process. Mag. (2020)
Keyphrases
- neural network
- graph structure
- weighted graph
- graph theory
- directed graph
- graph mining
- graph construction
- graph representation
- graph databases
- graph model
- graph clustering
- pattern recognition
- adjacency matrix
- graph matching
- graph search
- graph partitioning
- graph theoretic
- series parallel
- labeled graphs
- graph properties
- artificial neural networks
- graph classification
- graph structures
- adjacency graph
- subgraph isomorphism
- structural pattern recognition
- dynamic graph
- graph theoretical
- spanning tree
- neural network model
- neighborhood graph
- bipartite graph
- random graphs
- attributed graphs
- graph data
- edge weights
- undirected graph
- graph isomorphism
- graph transformation
- inexact graph matching
- maximum common subgraph
- reachability queries
- web graph
- connected components
- random walk
- social networks