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AppGNN: Approximation-Aware Functional Reverse Engineering using Graph Neural Networks

AppGNN: Approximation-Aware Functional Reverse Engineering using Graph Neural Networks

Tim Bücher
Lilas Alrahis
Guilherme Paim
S. Bampi
Ozgur Sinanoglu
H. Amrouch
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Papers citing "AppGNN: Approximation-Aware Functional Reverse Engineering using Graph Neural Networks"

3 / 3 papers shown
Title
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
137
968
0
10 Jul 2019
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,225
0
30 Oct 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
652
29,154
0
09 Sep 2016