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KDD
2008
ACM
192views Data Mining» more  KDD 2008»
14 years 7 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer
CN
1999
56views more  CN 1999»
13 years 7 months ago
Surfing the Web Backwards
From a user's perspective, hypertext links on the web form a directed graph between distinct information sources. We investigate the effects of discovering "backlinks&qu...
Soumen Chakrabarti, David Gibson, Kevin S. McCurle...
APVIS
2010
13 years 9 months ago
GMap: Visualizing graphs and clusters as maps
Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through...
Emden R. Gansner, Yifan Hu, Stephen G. Kobourov
CSCWD
2007
Springer
14 years 1 months ago
An interactive graph visualization for handling cooperative design activity context
The context of a collective activity is characterized by all information produced during the activity. The comprehension of this context by each actor is essential for the success...
Gilles Halin
ACL
2010
13 years 5 months ago
Experiments in Graph-Based Semi-Supervised Learning Methods for Class-Instance Acquisition
Graph-based semi-supervised learning (SSL) algorithms have been successfully used to extract class-instance pairs from large unstructured and structured text collections. However,...
Partha Pratim Talukdar, Fernando Pereira