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Graph Theory

1375 directly classified papers

Papers per year

Papers

Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm ICML 2014
Global graph kernels using geometric embeddings ICML 2014
Mode Estimation for High Dimensional Discrete Tree Graphical Models NIPS 2014
Efficient Minimax Signal Detection on Graphs NIPS 2014
Random Bayesian networks with bounded indegree AISTATS 2014
Non-Asymptotic Analysis of Relational Learning with One Network AISTATS 2014
Exploiting the Limits of Structure Learning via Inherent Symmetry AISTATS 2014
Finding Dense Subgraphs via Low-Rank Bilinear Optimization ICML 2014
Nonparametric estimation and testing of exchangeable graph models AISTATS 2014
Optimal Data Collection For Informative Rankings Expose Well-Connected Graphs JMLR 2014
Hitting and Commute Times in Large Random Neighborhood Graphs JMLR 2014
Learning from Contagion (Without Timestamps) ICML 2014
The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation ICML 2014
Connected Sub-graph Detection AISTATS 2014
Axioms for Graph Clustering Quality Functions JMLR 2014
Seeded Graph Matching for Correlated Erdos-Renyi Graphs JMLR 2014
Adaptive Variable Clustering in Gaussian Graphical Models AISTATS 2014
Joint Structure Learning of Multiple Non-Exchangeable Networks AISTATS 2014
A Junction Tree Framework for Undirected Graphical Model Selection JMLR 2014
Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs JMLR 2013
Random Spanning Trees and the Prediction of Weighted Graphs JMLR 2013
Stationary-Sparse Causality Network Learning JMLR 2013
Templateless Quasi-rigid Shape Modeling with Implicit Loop-Closure CVPR 2013
Graph-Laplacian PCA: Closed-Form Solution and Robustness CVPR 2013
Changepoint Detection over Graphs with the Spectral Scan Statistic AISTATS 2013