Knowledge & Reasoning

Multi-task Causal Learning with Gaussian Processes NeurIPS 2020 Multi-view Classification Model for Knowledge Graph Completion AACL 2020 Narrative Planning Model Acquisition from Text Summaries and Descriptions AAAI 2020 Neighborhood Matching Network for Entity Alignment ACL 2020 Nested Subspace Arrangement for Representation of Relational Data ICML 2020 NetSMC: A Custom Symbolic Model Checker for Stateful Network Verification NSDI 2020 Network Representation Learning Algorithm Based on Neighborhood Influence Sequence ACML 2020 NeuInfer: Knowledge Inference on N-ary Facts ACL 2020 Neural Snowball for Few-Shot Relation Learning AAAI 2020 On Aligning OpenIE Extractions with Knowledge Bases: A Case Study EMNLP 2020 On Efficient Adjustment in Causal Graphs JMLR 2020 Online Planner Selection with Graph Neural Networks and Adaptive Scheduling AAAI 2020 On Pruning for Score-Based Bayesian Network Structure Learning AISTATS 2020 On Robustness in Qualitative Constraint Networks IJCAI 2020 On Succinct Groundings of HTN Planning Problems AAAI 2020 On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling EMNLP 2020 On the Completeness of Causal Discovery in the Presence of Latent Confounding with Tiered Background Knowledge AISTATS 2020 On the Decidability of Intuitionistic Tense Logic without Disjunction IJCAI 2020 On the Expressivity of ASK Queries in SPARQL AAAI 2020 On the Role of Sparsity and DAG Constraints for Learning Linear DAGs NeurIPS 2020 Open Graph Benchmark: Datasets for Machine Learning on Graphs NeurIPS 2020 Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth IJCAI 2020 Optimal Planning Modulo Theories IJCAI 2020 Ordering-Based Causal Structure Learning in the Presence of Latent Variables AISTATS 2020 Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding ACL 2020