Dual-Primal Graph Convolutional Networks.
Federico MontiOleksandr ShchurAleksandar BojchevskiOr LitanyStephan GünnemannMichael M. BronsteinPublished in: CoRR (2018)
Keyphrases
- max margin markov
- primal dual
- dual formulation
- structured learning
- algorithm for linear programming
- edge weights
- average degree
- graph structure
- graph theory
- duality gap
- weighted graph
- dual variables
- complex networks
- network structure
- overlapping communities
- graph structures
- graph representation
- highly connected
- betweenness centrality
- directed edges
- support vector
- simplex algorithm
- social graphs
- deep learning
- fully connected
- bipartite graph
- directed graph
- linear program
- community discovery
- citation networks
- structural patterns
- bayesian networks
- small world
- sparse coding
- connected components
- graph layout
- structured data
- random walk
- objective function