146 search results - page 1 / 30 » Learning with Neural Networks in the Domain of Graphs |
LWA
2004
13 years 5 months ago
2004
IJCNN
2006
IEEE
13 years 10 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...
ICONIP
2007
13 years 6 months ago
2007
One of the authors has proposed a simple learning algorithm for recurrent neural networks, which requires computational cost and memory capacity in practical order O(n2 )[1]. The a...
WWW
2005
ACM
14 years 5 months ago
2005
ACM
Recent developments in the area of neural networks provided new models which are capable of processing general types of graph structures. Neural networks are well-known for their ...
ICML
1996
IEEE
14 years 5 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...