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ICML
2006
IEEE
16 years 7 months ago
An analysis of graph cut size for transductive learning
I consider the setting of transductive learning of vertex labels in graphs, in which a graph with n vertices is sampled according to some unknown distribution; there is a true lab...
Steve Hanneke
WWW
2009
ACM
16 years 7 months ago
Graph based crawler seed selection
This paper identifies and explores the problem of seed selection in a web-scale crawler. We argue that seed selection is not a trivial but very important problem. Selecting proper...
Shuyi Zheng, Pavel Dmitriev, C. Lee Giles
FCT
2009
Springer
16 years 25 days ago
Computing Role Assignments of Chordal Graphs
In social network theory, a simple graph G is called k-role assignable if there is a surjective mapping that assigns a number from {1, . . . , k} called a role to each vertex of G ...
Pim van 't Hof, Daniël Paulusma, Johan M. M. ...
AGTIVE
2007
Springer
16 years 14 days ago
Generation of Sierpinski Triangles: A Case Study for Graph Transformation Tools
In this paper, we consider a large variety of solutions for the generation of Sierpinski triangles, one of the case studies for the AGTIVE graph transformation tool contest [15]. A...
Gabriele Taentzer, Enrico Biermann, Dénes B...
PAKDD
2004
ACM
183views Data Mining» more  PAKDD 2004»
15 years 11 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