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» Modeling Relational Data as Graphs for Mining
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IDA
2007
Springer
15 years 4 months ago
Inference of node replacement graph grammars
Graph grammars combine the relational aspect of graphs with the iterative and recursive aspects of string grammars, and thus represent an important next step in our ability to dis...
Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook
SDM
2011
SIAM
307views Data Mining» more  SDM 2011»
14 years 7 months ago
Block-LDA: Jointly modeling entity-annotated text and entity-entity links
We present a model that improves entity entity link modeling in a mixed membership stochastic block model, by jointly modeling links with text about the entities that are linked i...
Ramnath Balasubramanyan, William W. Cohen
ICDM
2006
IEEE
296views Data Mining» more  ICDM 2006»
15 years 10 months ago
Fast Random Walk with Restart and Its Applications
How closely related are two nodes in a graph? How to compute this score quickly, on huge, disk-resident, real graphs? Random walk with restart (RWR) provides a good relevance scor...
Hanghang Tong, Christos Faloutsos, Jia-Yu Pan
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 5 months ago
Clustering from Constraint Graphs
In constrained clustering it is common to model the pairwise constraints as edges on the graph of observations. Using results from graph theory, we analyze such constraint graphs ...
Ari Freund, Dan Pelleg, Yossi Richter
KDD
2012
ACM
271views Data Mining» more  KDD 2012»
13 years 6 months ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...