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RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks.
Zeyu Zhang
Jiamou Liu
Xianda Zheng
Yifei Wang
Pengqian Han
Yupan Wang
Kaiqi Zhao
Zijian Zhang
Published in:
WWW (2023)
Keyphrases
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neural network
graph model
computational model
cost function
theoretical analysis
network model
prior knowledge
theoretical framework
high level
prediction model
statistical model
probability distribution
random walk
markov chain
neural network model
formal model
objective function
training data
dependency graph