network analysis

Why Steiner-tree type algorithms work for community detection AISTATS 2013 A Linear Time Active Learning Algorithm for Link Classification NeurIPS 2012 Bayesian nonparametric models for bipartite graphs NeurIPS 2012 Graphlet decomposition of a weighted network AISTATS 2012 Identification of Recurrent Patterns in the Activation of Brain Networks NeurIPS 2012 Pattern for Python JMLR 2012 Random function priors for exchangeable arrays with applications to graphs and relational data NeurIPS 2012 Scalable Inference of Overlapping Communities NeurIPS 2012 Continuous-Time Regression Models for Longitudinal Networks NeurIPS 2011 Learning a Distance Metric from a Network NeurIPS 2011 LPmade: Link Prediction Made Easy JMLR 2011 Multiscale Community Blockmodel for Network Exploration AISTATS 2011 Reconstructing Patterns of Information Diffusion from Incomplete Observations NeurIPS 2011 Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011 TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents AISTATS 2011 Detecting Weak but Hierarchically-Structured Patterns in Networks AISTATS 2010 Getting lost in space: Large sample analysis of the resistance distance NeurIPS 2010 Identifying graph-structured activation patterns in networks NeurIPS 2010 Link Discovery using Graph Feature Tracking NeurIPS 2010 Penalized Principal Component Regression on Graphs for Analysis of Subnetworks NeurIPS 2010 Subgraph Detection Using Eigenvector L1 Norms NeurIPS 2010 Mixed Membership Stochastic Blockmodels NeurIPS 2008 Gaussian Process Models for Link Analysis and Transfer Learning NeurIPS 2007 Stochastic Relational Models for Discriminative Link Prediction NeurIPS 2006