link prediction

Complex Embeddings for Simple Link Prediction ICML 2016 Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network ACML 2016 Higher-Order Factorization Machines NeurIPS 2016 Input Output Kernel Regression: Supervised and Semi-Supervised Structured Output Prediction with Operator-Valued Kernels JMLR 2016 Knowledge-Driven Event Embedding for Stock Prediction COLING 2016 Nonparametric Network Models for Link Prediction JMLR 2016 On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability NeurIPS 2016 Topic-Based Embeddings for Learning from Large Knowledge Graphs AISTATS 2016 Towards Time-Aware Knowledge Graph Completion COLING 2016 Halting in Random Walk Kernels NeurIPS 2015 Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction AISTATS 2015 Metadata Dependent Mondrian Processes ICML 2015 Preferential Attachment in Graphs with Affinities AISTATS 2015 PU Learning for Matrix Completion ICML 2015 The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels NeurIPS 2015 Link Prediction in Graphs with Autoregressive Features JMLR 2014 Prediction and Clustering in Signed Networks: A Local to Global Perspective JMLR 2014 A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NeurIPS 2013 Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks ICML 2013 Efficient Online Inference for Bayesian Nonparametric Relational Models NeurIPS 2013 Modeling Overlapping Communities with Node Popularities NeurIPS 2013 Nonparametric Multi-group Membership Model for Dynamic Networks NeurIPS 2013 Reasoning With Neural Tensor Networks for Knowledge Base Completion NeurIPS 2013 Similarity Component Analysis NeurIPS 2013 Translating Embeddings for Modeling Multi-relational Data NeurIPS 2013