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EVOW
2006
Springer
15 years 4 months ago
A Multiagent Algorithm for Graph Partitioning
The k-cut problem is an NP-complete problem which consists of finding a partition of a graph into k balanced parts such that the number of cut edges is minimized. Different algori...
Francesc Comellas, Emili Sapena
ICDM
2008
IEEE
121views Data Mining» more  ICDM 2008»
15 years 7 months ago
Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering
Most research on Internet topology is based on active measurement methods. A major difficulty in using these tools is that one comes across many unresponsive routers. Different m...
Anat Almog, Jacob Goldberger, Yuval Shavitt
PAKDD
2004
ACM
183views Data Mining» more  PAKDD 2004»
15 years 6 months ago
Constraint-Based Graph Clustering through Node Sequencing and Partitioning
This paper proposes a two-step graph partitioning method to discover constrained clusters with an objective function that follows the well-known minmax clustering principle. Compar...
Yu Qian, Kang Zhang, Wei Lai
115
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EMNLP
2010
14 years 11 months ago
Word Sense Induction Disambiguation Using Hierarchical Random Graphs
Graph-based methods have gained attention in many areas of Natural Language Processing (NLP) including Word Sense Disambiguation (WSD), text summarization, keyword extraction and ...
Ioannis P. Klapaftis, Suresh Manandhar
ICIP
2005
IEEE
16 years 2 months ago
Detection of semantic objects using description graphs
This paper presents a technique to detect instances of classes (objects) according to their semantic definition in the form of a Description Graph. Classes are defined as combinat...
Ferran Marqués, Xavier Giro