Sparse Graph Learning with Spectrum Prior for Deep Graph Convolutional Networks.
Jin ZengYang LiuGene CheungWei HuPublished in: ICASSP (2023)
Keyphrases
- learning process
- learning algorithm
- random walk
- fully connected
- learning systems
- graph structure
- structural learning
- reinforcement learning
- graph theoretic
- graph representation
- deep learning
- graph theory
- bipartite graph
- deep architectures
- directed graph
- weighted graph
- average degree
- betweenness centrality
- convolutional neural networks
- gaussian graphical models
- graph model
- directed acyclic graph
- graph matching
- sparse coding
- conditional random fields
- structured data
- online learning
- social networks