Graph Signal Processing - Part III: Machine Learning on Graphs, from Graph Topology to Applications.
Ljubisa StankovicDanilo P. MandicMilos DakovicMilos BrajovicBruno ScalzoShengxi LiAnthony G. ConstantinidesPublished in: CoRR (2020)
Keyphrases
- machine learning
- signal processing
- graph theory
- graph representation
- graph structure
- weighted graph
- graph databases
- graph mining
- graph structures
- directed graph
- graph matching
- graph theoretical
- random graphs
- graph model
- bipartite graph
- adjacency matrix
- topological information
- graph clustering
- graph theoretic
- graph properties
- graph data
- fully connected
- graph partitioning
- undirected graph
- small world
- labeled graphs
- spanning tree
- random walk
- subgraph isomorphism
- connected components
- graph construction
- neighborhood graph
- graph search
- inexact graph matching
- pattern recognition
- graph transformation
- graph representations
- structural pattern recognition
- series parallel
- graph classification
- minimum spanning tree
- web graph
- directed acyclic graph
- information extraction
- planar graphs
- graph patterns
- graph kernels
- reachability queries
- structured data
- directed acyclic