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» On Partitional Labelings of Graphs
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LION
2009
Springer
112views Optimization» more  LION 2009»
15 years 9 months ago
A Graph-Based Semi-supervised Algorithm for Protein Function Prediction from Interaction Maps
Abstract. Protein function prediction represents a fundamental challenge in bioinformatics. The increasing availability of proteomics network data has enabled the development of se...
Valerio Freschi
WEA
2007
Springer
116views Algorithms» more  WEA 2007»
15 years 9 months ago
Optimal Edge Deletions for Signed Graph Balancing
The Balanced Subgraph problem (edge deletion variant) asks for a 2-coloring of a graph that minimizes the inconsistencies with given edge labels. It has applications in social netw...
Falk Hüffner, Nadja Betzler, Rolf Niedermeier
DAGM
2008
Springer
15 years 4 months ago
MAP-Inference for Highly-Connected Graphs with DC-Programming
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...
Jörg H. Kappes, Christoph Schnörr
NIPS
2004
15 years 4 months ago
An Application of Boosting to Graph Classification
This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
Taku Kudo, Eisaku Maeda, Yuji Matsumoto
149
Voted
NIPS
2004
15 years 4 months ago
Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, Jo...