Convolutional Neural Networks Via Node-Varying Graph Filters.
Fernando GamaGeert LeusAntonio Garcia MarquesAlejandro RibeiroPublished in: CoRR (2017)
Keyphrases
- convolutional neural networks
- graph structure
- directed graph
- undirected graph
- convolutional network
- graph representation
- finding the shortest path
- random walk
- weighted graph
- edge weights
- root node
- nodes of a graph
- overlapping communities
- graph theory
- tree structure
- random graphs
- graph model
- bipartite graph
- edge detection
- wavelet transform
- strongly connected
- graph mining
- directed acyclic graph
- betweenness centrality
- connected components
- graphical models
- heterogeneous social networks