Graph Theory

Cooperative Graphical Models NeurIPS 2016 Data driven estimation of Laplace-Beltrami operator NeurIPS 2016 Dictionaries as Networks: Identifying the graph structure of Ogden’s Basic English COLING 2016 Edge-exchangeable graphs and sparsity NeurIPS 2016 Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums JMLR 2016 Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models NeurIPS 2016 Exploring the Hidden Dimension in Graph Processing OSDI 2016 Graph Clustering: Block-models and model free results NeurIPS 2016 Graphons, mergeons, and so on! NeurIPS 2016 How to Learn a Graph from Smooth Signals AISTATS 2016 Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models NeurIPS 2016 Joint Structural Estimation of Multiple Graphical Models JMLR 2016 Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP) CVPR 2016 Learning Planar Ising Models JMLR 2016 Linear Shape Deformation Models With Local Support Using Graph-Based Structured Matrix Factorisation CVPR 2016 Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means JMLR 2016 Memory Efficient Max Flow for Multi-Label Submodular MRFs CVPR 2016 Metadata-conscious anonymous messaging ICML 2016 New perspective on sampling-based motion planning via random geometric graphs RSS 2016 New Resistance Distances with Global Information on Large Graphs AISTATS 2016 Nonlinear Statistical Learning with Truncated Gaussian Graphical Models ICML 2016 On Valid Optimal Assignment Kernels and Applications to Graph Classification NeurIPS 2016 Optimal Cluster Recovery in the Labeled Stochastic Block Model NeurIPS 2016 Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models JMLR 2016 Robust Spectral Detection of Global Structures in the Data by Learning a Regularization NeurIPS 2016