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115
Voted
IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
142
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WIRN
2005
Springer
15 years 8 months ago
2005
Springer
Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
110
Voted
GD
2004
Springer
15 years 8 months ago
2004
Springer
We describe the query and data processing language QUOGGLES which is particularly designed for the application on graphs. It uses a pipeline-like technique known from command line ...
108
Voted
AAAI
2008
15 years 5 months ago
2008
In this paper, a bottom-up hierarchical genetic algorithm is proposed to visualize clustered data into a planar graph. To achieve global optimization by accelerating local optimiz...
97
Voted
ICIP
2010
IEEE
15 years 17 days ago
2010
IEEE
In this paper, we propose two-channel filter-bank designs for signals defined on arbitrary graphs. These filter-banks are local, invertible and critically sampled. Depending on th...