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Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks

Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks

27 September 2021
Yongcheng Jing
Yiding Yang
Xinchao Wang
Xiuming Zhang
Dacheng Tao
ArXivPDFHTML

Papers citing "Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks"

5 / 55 papers shown
Title
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain
Amir Zamir
Silvio Savarese
Ashutosh Saxena
GNN
112
1,084
0
17 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during
  propagations
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
127
2,976
0
02 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
673
149,474
0
22 Dec 2014
A* Sampling
A* Sampling
Chris J. Maddison
Daniel Tarlow
T. Minka
59
390
0
31 Oct 2014
Estimating or Propagating Gradients Through Stochastic Neurons for
  Conditional Computation
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio
Nicholas Léonard
Aaron Courville
296
3,099
0
15 Aug 2013
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