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Graph Theory

1375 directly classified papers

Papers per year

Papers

Bayesian Network Score Approximation using a Metagraph Kernel NIPS 2008
Learning Bounded Treewidth Bayesian Networks JMLR 2008
Structural Learning of Chain Graphs via Decomposition JMLR 2008
Spectral Hashing NIPS 2008
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models JMLR 2008
Online Prediction on Large Diameter Graphs NIPS 2008
Graph Laplacians and their Convergence on Random Neighborhood Graphs JMLR 2007
Local Algorithms for Approximate Inference in Minor-Excluded Graphs NIPS 2007
On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning JMLR 2007
Dynamic Coverage Verification in Mobile Sensor Networks Via Switched Higher Order Laplacians RSS 2007
Efficient Inference for Distributions on Permutations NIPS 2007
Modeling homophily and stochastic equivalence in symmetric relational data NIPS 2007
Generation of Point-contact State Space between Strictly Curved Objects RSS 2006
A Small World Threshold for Economic Network Formation NIPS 2006
Inferring Network Structure from Co-Occurrences NIPS 2006
Graph Laplacian Regularization for Large-Scale Semidefinite Programming NIPS 2006
Fundamental Limitations of Spectral Clustering NIPS 2006
Distance Patterns in Structural Similarity JMLR 2006
Convergence of Laplacian Eigenmaps NIPS 2006
Learning Factor Graphs in Polynomial Time and Sample Complexity JMLR 2006
Learning a Hidden Hypergraph JMLR 2006
Walk-Sums and Belief Propagation in Gaussian Graphical Models JMLR 2006
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression NIPS 2006
Approximate inference using planar graph decomposition NIPS 2006
Path Kernels and Multiplicative Updates JMLR 2003