3 papers
cs.LG2025
Effects of Distributional Biases on Gradient-Based Causal Discovery in the Bivariate Categorical Case
Tim Schwabe, Moritz Lange, Laurenz Wiskott +1
Gradient-based causal discovery shows great potential for deducing causal structure from data in an efficient and scalable way. Those approaches however can be susceptible to distr…
cs.CL2025
Q-NL Verifier: Leveraging Synthetic Data for Robust Knowledge Graph Question Answering
Tim Schwabe, Louisa Siebel, Patrik Valach +1
Question answering (QA) requires accurately aligning user questions with structured queries, a process often limited by the scarcity of high-quality query-natural language (Q-NL) p…
cs.DB2024
Neuro-Symbolic Query Optimization in Knowledge Graphs
Maribel Acosta, Chang Qin, Tim Schwabe
This chapter delves into the emerging field of neuro-symbolic query optimization for knowledge graphs (KGs), presenting a comprehensive exploration of how neural and symbolic techn…