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ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
15 years 8 months ago
Clustering with Multiple Graphs
—In graph-based learning models, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. In many real...
Wei Tang, Zhengdong Lu, Inderjit S. Dhillon
113
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BMCBI
2010
148views more  BMCBI 2010»
15 years 1 months ago
Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
Mara L. Hartsperger, Florian Blöchl, Volker S...
APVIS
2001
15 years 3 months ago
Information Visualisation using Composable Layouts and Visual Sets
This paper demonstrates the application of graph drawing and information visualisation techniques to the visualisation of information which can be modelled as an attributed graph....
Tim Pattison, Rudi Vernik, Matthew Phillips
PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
14 years 11 months ago
Graph Regularized Transductive Classification on Heterogeneous Information Networks
A heterogeneous information network is a network composed of multiple types of objects and links. Recently, it has been recognized that strongly-typed heterogeneous information net...
Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han...
ACSAC
2006
IEEE
15 years 7 months ago
Practical Attack Graph Generation for Network Defense
Attack graphs are a valuable tool to network defenders, illustrating paths an attacker can use to gain access to a targeted network. Defenders can then focus their efforts on patc...
Kyle Ingols, Richard Lippmann, Keith Piwowarski