Reasoning

DHMConv: Directed Hypergraph Momentum Convolution Framework AISTATS 2024 Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach AAAI 2024 DiffPO: A causal diffusion model for learning distributions of potential outcomes NeurIPS 2024 DiffuCOMET: Contextual Commonsense Knowledge Diffusion ACL 2024 Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs ACL 2024 Discovering Agents (Abstract Reprint) AAAI 2024 Discovering Heterogeneous Causal Effects in Relational Data AAAI 2024 Disjoint Partial Enumeration without Blocking Clauses AAAI 2024 Dissecting the Failure of Invariant Learning on Graphs NeurIPS 2024 Distilling Causal Effect of Data in Continual Few-shot Relation Learning COLING 2024 DNCs Require More Planning Steps ICML 2024 Do causal predictors generalize better to new domains? NeurIPS 2024 DocScript: Document-level Script Event Prediction COLING 2024 DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models JMLR 2024 Dual Complex Number Knowledge Graph Embeddings COLING 2024 Dual Likelihood for Causal Inference under Structure Uncertainty CLeaR 2024 Dynamic Tangled Derivative Logic of Metric Spaces AAAI 2024 Effective Causal Discovery under Identifiable Heteroscedastic Noise Model AAAI 2024 Efficient and Accurate Contextual Re-Ranking for Knowledge Graph Question Answering COLING 2024 Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal Concept Analysis AAAI 2024 E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator CVPR 2024 Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations ACL 2024 Enhancing Sufficient Dimension Reduction via Hellinger Correlation ICML 2024 Estimating Bounds on Causal Effects Considering Unmeasured Common Causes PGM 2024 Exact ASP Counting with Compact Encodings AAAI 2024