Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering.

Yaming Yang Ziyu Guan Zhe Wang Wei Zhao Cai Xu Weigang Lu Jianbin Huang

Published 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