relational data

Graph-Conditional Flow Matching for Relational Data Generation AAAI 2026 Generating Synthetic Relational Tabular Data via Structural Causal Models ACL 2025 Relational Causal Discovery with Latent Confounders UAI 2025 RelationalCoder: Rethinking Complex Tables via Programmatic Relational Transformation ACL 2025 Discovering Heterogeneous Causal Effects in Relational Data AAAI 2024 Towards Human-like Learning from Relational Structured Data AAAI 2024 Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data AAAI 2023 Weisfeiler and Leman go Machine Learning: The Story so far JMLR 2023 Coresets for Relational Data and The Applications NeurIPS 2022 Graph annotation generative adversarial networks ACML 2022 Non-parametric inference of relational dependence UAI 2022 Bayesian nonparametric model for arbitrary cubic partitioning ACML 2021 Hierarchical infinite relational model UAI 2021 PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming AISTATS 2021 Permuton-induced Chinese Restaurant Process NeurIPS 2021 The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs IJCAI 2021 Baxter Permutation Process NeurIPS 2020 Ensemble Learning for Relational Data JMLR 2020 Nested Subspace Arrangement for Representation of Relational Data ICML 2020 Rk-means: Fast Clustering for Relational Data AISTATS 2020 Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data AISTATS 2019 Scalable Deep Generative Relational Model with High-Order Node Dependence NeurIPS 2019 Towards Robust Relational Causal Discovery UAI 2019 Dependent Relational Gamma Process Models for Longitudinal Networks ICML 2018 Ontology-Based Data Access: A Survey IJCAI 2018