Knowledge & Reasoning

Neural-based Mixture Probabilistic Query Embedding for Answering FOL queries on Knowledge Graphs EMNLP 2022 Neural Networks in a Product of Hyperbolic Spaces NAACL 2022 Neural-Symbolic Entangled Framework for Complex Query Answering NeurIPS 2022 Neural-Symbolic Models for Logical Queries on Knowledge Graphs ICML 2022 Neuron Dependency Graphs: A Causal Abstraction of Neural Networks ICML 2022 Neuro-Symbolic Hierarchical Rule Induction ICML 2022 Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks AAAI 2022 NGEP: A Graph-based Event Planning Framework for Story Generation AACL 2022 OakInk: A Large-Scale Knowledge Repository for Understanding Hand-Object Interaction CVPR 2022 Obtaining Causal Information by Merging Datasets with MAXENT AISTATS 2022 On Masked Language Models for Contextual Link Prediction ACL 2022 On Measuring Causal Contributions via do-interventions ICML 2022 On Paraconsistent Belief Revision in LP AAAI 2022 On Testing for Discrimination Using Causal Models AAAI 2022 On the Assumptions of Synthetic Control Methods AISTATS 2022 On the Complexity of Inductively Learning Guarded Clauses AAAI 2022 On the Convergence of Continuous Constrained Optimization for Structure Learning AISTATS 2022 On the definition and computation of causal treewidth UAI 2022 On the Equivalence of Causal Models: A Category-Theoretic Approach CLeaR 2022 On the Learning Mechanisms in Physical Reasoning NeurIPS 2022 On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges IJCAI 2022 Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification NeurIPS 2022 On Verifying Expectations and Observations of Intelligent Agents IJCAI 2022 Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge EMNLP 2022 Open Domain Question Answering with A Unified Knowledge Interface ACL 2022