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Knowledge Graphs

1534 directly classified papers

Papers per year

Papers

NEIL: Extracting Visual Knowledge from Web Data ICCV 2013
Reasoning With Neural Tensor Networks for Knowledge Base Completion NIPS 2013
Exploiting Ontology Structures and Unlabeled Data for Learning ICML 2013
Network Principles for SfM: Disambiguating Repeated Structures with Local Context ICCV 2013
Visual Semantic Complex Network for Web Images ICCV 2013
Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs ICML 2013
Modeling Temporal Evolution and Multiscale Structure in Networks ICML 2013
Tracking Time-varying Graphical Structure NIPS 2013
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NIPS 2013
Translating Embeddings for Modeling Multi-relational Data NIPS 2013
Learning Networks of Heterogeneous Influence NIPS 2012
A latent factor model for highly multi-relational data NIPS 2012
Random function priors for exchangeable arrays with applications to graphs and relational data NIPS 2012
Human memory search as a random walk in a semantic network NIPS 2012
Learning Higher-Order Graph Structure with Features by Structure Penalty NIPS 2011
Kernel Embeddings of Latent Tree Graphical Models NIPS 2011
Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011
See the Tree Through the Lines: The Shazoo Algorithm NIPS 2011
On the Convexity of Latent Social Network Inference NIPS 2010
Learning concept graphs from text with stick-breaking priors NIPS 2010
Link Discovery using Graph Feature Tracking NIPS 2010
More data means less inference: A pseudo-max approach to structured learning NIPS 2010
Learning Networks of Stochastic Differential Equations NIPS 2010
Bayesian structure discovery in Bayesian networks with less space AISTATS 2010
Nonparametric Latent Feature Models for Link Prediction NIPS 2009