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» A Framework for Network Modeling in Prolog
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IJCNN
2006
IEEE
15 years 10 months ago
A Comparison between Recursive Neural Networks and Graph Neural Networks
— 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...
Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sa...
TMC
2012
13 years 6 months ago
Relay-Assisted Transmission with Fairness Constraint for Cellular Networks
Abstract—We consider the problem of relay-assisted transmission for cellular networks. In the considered system, a source node together with n relay nodes are selected in a propo...
Erwu Liu, Qinqing Zhang, Kin K. Leung
MOBISYS
2006
ACM
16 years 3 months ago
Building realistic mobility models from coarse-grained traces
In this paper we present a trace-driven framework capable of building realistic mobility models for the simulation studies of mobile systems. With the goal of realism, this framew...
Jungkeun Yoon, Brian D. Noble, Mingyan Liu, Minkyo...
IJCNN
2006
IEEE
15 years 10 months ago
Modeling Cortical Maps with Feed-Backs
Abstract— High-level specification of how the brain represents and categorizes the causes of its sensory input allows to link “what is to be done” (perceptual task) with “...
Thierry Viéville, Pierre Kornprobst
SIGCOMM
2005
ACM
15 years 9 months ago
Meridian: a lightweight network location service without virtual coordinates
This paper introduces a lightweight, scalable and accurate framework, called Meridian, for performing node selection based on network location. The framework consists of an overla...
Bernard Wong, Aleksandrs Slivkins, Emin Gün S...