Multimodal graph convolutional networks for high quality content recognition.
Jinguang WangJun HuShengsheng QianQuan FangChangsheng XuPublished in: Neurocomputing (2020)
Keyphrases
- recognition rate
- average degree
- recognition accuracy
- object recognition
- multi modal
- community discovery
- pattern recognition
- graph model
- network analysis
- face biometrics
- dynamic networks
- graph structure
- graph theory
- degree distribution
- network structure
- highly connected
- directed graph
- graph matching
- connected components
- graph mining
- overlapping communities
- social graphs
- graph layout
- directed edges
- graph databases
- network size
- fully connected
- protein interaction networks
- random graphs
- feature extraction
- recognition process
- graph theoretic
- random walk
- social networks
- small world
- complex networks
- recognition algorithm
- structural patterns
- hidden markov models
- unsupervised learning
- activity recognition
- character recognition
- graph partitioning
- graph representation
- automatic recognition
- graph structures
- path length