Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering.
Yaming YangZiyu GuanZhe WangWei ZhaoCai XuWeigang LuJianbin HuangPublished in: NeurIPS (2022)
Keyphrases
- graph theoretic
- clustering algorithm
- graph clustering
- graph partitioning
- k means
- clustering method
- graph model
- data clustering
- test set
- document clustering
- training set
- random walk
- supervised learning
- training process
- connected components
- directed graph
- graph matching
- hierarchical clustering
- categorical data
- training phase
- bipartite graph
- graph representation
- unsupervised learning
- graph construction
- self organizing maps
- structured data
- undirected graph
- graph layout
- graph databases
- weighted graph
- graph structure
- graph theory
- similarity function
- training samples
- semi supervised learning
- support vector machine
- training data