relational learning

GMNN: Graph Markov Neural Networks ICML 2019 Implicitly learning to reason in first-order logic NeurIPS 2019 Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields IJCAI 2019 Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs ICML 2019 Pedestrian Attribute Recognition by Joint Visual-semantic Reasoning and Knowledge Distillation IJCAI 2019 Relational Action Forecasting CVPR 2019 Efficient Weight Learning in High-Dimensional Untied MLNs AISTATS 2018 LinkNBed: Multi-Graph Representation Learning with Entity Linkage ACL 2018 One-Shot Relational Learning for Knowledge Graphs EMNLP 2018 SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach EMNLP 2018 Knowledge Graph Completion via Complex Tensor Factorization JMLR 2017 Leveraging Node Attributes for Incomplete Relational Data ICML 2017 Locally Consistent Bayesian Network Scores for Multi-Relational Data IJCAI 2017 Towards A Relational Approach For Tool Creation By Robots IJCAI 2017 Complex Embeddings for Simple Link Prediction ICML 2016 Diffusion-Convolutional Neural Networks NeurIPS 2016 Discriminative Gaifman Models NeurIPS 2016 Non-Asymptotic Analysis of Relational Learning with One Network AISTATS 2014 Convex Adversarial Collective Classification ICML 2013 Exploration in Relational Domains for Model-based Reinforcement Learning JMLR 2012 Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012 Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011 Efficient Relational Learning with Hidden Variable Detection NeurIPS 2010 Evidence-Specific Structures for Rich Tractable CRFs NeurIPS 2010 Abstraction and Relational learning NeurIPS 2009