MLGCN: Multi-Laplacian Graph Convolutional Networks for Human Action Recognition.
Ahmed MazariHichem SahbiPublished in: BMVC (2019)
Keyphrases
- average degree
- sparse coding
- graph laplacian
- graph theory
- social networks
- connected components
- action recognition
- small world
- graph structures
- random walk
- spectral decomposition
- directed graph
- graph matching
- social graphs
- community discovery
- protein interaction networks
- highly connected
- graph layout
- overlapping communities
- degree distribution
- directed edges
- minimum spanning tree
- edge weights
- spanning tree
- graph mining
- weighted graph
- complex networks
- path length
- graph data
- fully connected
- network size
- heat kernel
- graph theoretic
- graph model
- edge detection
- video sequences