Knowledge Graphs

A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NeurIPS 2013 Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NeurIPS 2013 Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs ICML 2013 Exploiting Ontology Structures and Unlabeled Data for Learning ICML 2013 Modeling Temporal Evolution and Multiscale Structure in Networks ICML 2013 NEIL: Extracting Visual Knowledge from Web Data ICCV 2013 Network Principles for SfM: Disambiguating Repeated Structures with Local Context ICCV 2013 Reasoning With Neural Tensor Networks for Knowledge Base Completion NeurIPS 2013 Tracking Time-varying Graphical Structure NeurIPS 2013 Translating Embeddings for Modeling Multi-relational Data NeurIPS 2013 Visual Semantic Complex Network for Web Images ICCV 2013 A latent factor model for highly multi-relational data NeurIPS 2012 Human memory search as a random walk in a semantic network NeurIPS 2012 Learning Networks of Heterogeneous Influence NeurIPS 2012 Random function priors for exchangeable arrays with applications to graphs and relational data NeurIPS 2012 Kernel Embeddings of Latent Tree Graphical Models NeurIPS 2011 Learning Higher-Order Graph Structure with Features by Structure Penalty NeurIPS 2011 Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011 See the Tree Through the Lines: The Shazoo Algorithm NeurIPS 2011 Bayesian structure discovery in Bayesian networks with less space AISTATS 2010 Learning concept graphs from text with stick-breaking priors NeurIPS 2010 Learning Networks of Stochastic Differential Equations NeurIPS 2010 Link Discovery using Graph Feature Tracking NeurIPS 2010 More data means less inference: A pseudo-max approach to structured learning NeurIPS 2010 On the Convexity of Latent Social Network Inference NeurIPS 2010