Residual Graph Convolutional Networks for Zero-Shot Learning.
Jiwei WeiYang YangJingjing LiLei ZhuLin ZuoHeng Tao ShenPublished in: MMAsia (2019)
Keyphrases
- average degree
- fully connected
- random walk
- graph structures
- graph theory
- structured data
- highly connected
- graph theoretic
- dynamic networks
- network size
- directed graph
- complex networks
- computer networks
- graph model
- graph clustering
- social networks
- path length
- small world
- community discovery
- edge weights
- social graphs
- random graphs
- heterogeneous networks
- graph representation
- spanning tree
- weighted graph
- directed edges
- graph data
- network structure
- connected components
- image search
- betweenness centrality
- graph based algorithm
- graph structure
- network analysis
- knowledge transfer
- graph mining
- deep learning
- power law