Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering.
Zongmo HuangYazhou RenXiaorong PuShudong HuangZenglin XuLifang HePublished in: AAAI (2023)
Keyphrases
- multi view clustering
- edge weights
- weighted graph
- betweenness centrality
- multi view
- average degree
- complex networks
- graph model
- graph structure
- citation networks
- graph theory
- fully connected
- bipartite graph
- directed graph
- shortest path
- social networks
- computer vision
- overlapping communities
- graph structures
- maximum weight
- association graph
- small world
- graph partitioning
- low level
- graph layout
- viewpoint