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On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach.
Ruichu Cai
Yuxuan Zhu
Xuexin Chen
Yuan Fang
Min Wu
Jie Qiao
Zhifeng Hao
Published in:
CoRR (2022)
Keyphrases
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lower bound
neural network
upper bound
min sum
pattern recognition
highly non linear
directed graph
graph model
branch and bound algorithm
objective function
graph representation
graph theory
branch and bound
optimization algorithm
random walk
optimal solution
global optimization
fuzzy logic
lower and upper bounds
connected components
optimization problems
recurrent neural networks
worst case
probability distribution
arbitrarily close
neural nets
graph mining
randomized algorithm
artificial neural networks