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ICPR
2008
IEEE
16 years 1 months ago
Detecting hubs and quasi cliques in scale-free networks
Scale-free networks are believed to closely model most real-world networks. An interesting property of such networks is the existence of so-called hub and community structures. In...
Sriganesh Srihari, Hoong Kee Ng, Kang Ning, Hon Wa...
ICTAI
2007
IEEE
16 years 1 months ago
CompoNet: Programmatically Embedding Neural Networks into AI Applications as Software Components
The provision of embedding neural networks into software applications can enable variety of Artificial Intelligence systems for individual users as well as organizations. Previous...
Uzair Ahmad, Andrey Gavrilov, Sungyoung Lee, Young...
167
Voted
CN
2010
100views more  CN 2010»
15 years 7 months ago
A survey of network virtualization
Due to the existence of multiple stakeholders with conflicting goals and policies, alterations to the existing Internet are now limited to simple incremental updates; deployment o...
N. M. Mosharaf Kabir Chowdhury, Raouf Boutaba
168
Voted
ICCD
2004
IEEE
123views Hardware» more  ICCD 2004»
16 years 3 months ago
Software/Network Co-Simulation of Heterogeneous Industrial Networks Architectures
The work presents a modeling and analysis framework for heterogeneous industrial networks architectures which is based on a tight integration of a network simulator with embedded ...
Franco Fummi, Stefano Martini, Marco Monguzzi, Gio...
IJCNN
2006
IEEE
16 years 27 days 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...