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Graph Random Neural Networks for Semi-Supervised Learning on Graphs.
Wenzheng Feng
Jie Zhang
Yuxiao Dong
Yu Han
Huanbo Luan
Qian Xu
Qiang Yang
Evgeny Kharlamov
Jie Tang
Published in:
NeurIPS (2020)
Keyphrases
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semi supervised learning
graph construction
neural network
graph based semi supervised learning
semi supervised
semi supervised classification
unlabeled data
label propagation
labeled data
neighborhood graph
k nearest neighbor
graph structure
machine learning
weighted graph
directed graph
unsupervised learning
knn
supervised learning
graph kernels
pattern recognition
co training
training data
adjacency matrix
graph mining
graph partitioning
manifold regularization
edge weights
graph clustering
learning models
bipartite graph
spectral clustering
graph laplacian
spanning tree
undirected graph
semi supervised learning algorithms
labeled and unlabeled data
semi supervised clustering
multi view
bayesian networks
pairwise
pairwise constraints
dimensionality reduction
active learning