Convolutional Neural Networks via Node-Varying Graph Filters.
Fernando GamaGeert LeusAntonio G. MarquesAlejandro RibeiroPublished in: DSW (2018)
Keyphrases
- convolutional neural networks
- graph structure
- directed graph
- convolutional network
- undirected graph
- finding the shortest path
- graph theory
- tree structure
- edge weights
- random walk
- betweenness centrality
- graph representation
- directed acyclic graph
- graph model
- root node
- overlapping communities
- graph mining
- graph partitioning
- path length
- complex networks
- median filter
- small world
- spanning tree
- graph databases
- wavelet transform
- graph matching
- connected components
- structured data
- graphical models