Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering.
Yaming YangZiyu GuanZhe WangWei ZhaoCai XuWeigang LuJianbin HuangPublished in: CoRR (2022)
Keyphrases
- graph theoretic
- graph clustering
- k means
- clustering method
- categorical data
- data clustering
- clustering algorithm
- graph partitioning
- graph model
- graph construction
- graph representation
- partitioning algorithm
- hierarchical clustering
- test set
- random walk
- supervised learning
- weighted graph
- graph theory
- graph structure
- graph matching
- training phase
- training set
- outlier detection
- structured data
- directed graph
- cluster analysis
- graph layout
- neural network
- normalized cut
- bipartite graph
- fuzzy clustering
- similarity function
- spectral clustering
- similarity measure