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GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks.
Taraneh Younesian
Thiviyan Thanapalasingam
Emile van Krieken
Daniel Daza
Peter Bloem
Published in:
CoRR (2023)
Keyphrases
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neural network
graph theoretic
structural learning
graph theory
graph structure
graph representation
graph structures
feedforward neural networks
neural nets
learning rules
graph mining
neighborhood graph
graph model
weighted graph
graph matching
directed graph
structured data
reinforcement learning