Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks.
Wei-Lin ChiangXuanqing LiuSi SiYang LiSamy BengioCho-Jui HsiehPublished in: KDD (2019)
Keyphrases
- minimum spanning tree
- learning algorithm
- computational complexity
- k means
- graph structure
- graph based algorithm
- fully connected
- spanning tree
- dynamic programming
- detection algorithm
- matching algorithm
- training phase
- training algorithm
- hierarchical clustering
- expectation maximization
- search space
- objective function
- similarity measure
- social networks
- data clustering
- neural network
- random walk
- subspace clustering
- np hard
- maximum flow
- dominating set