#inductive learning
2 resultscs.DB2026
Fully Inductive Cardinality Estimation
Tim Schwabe, Lukas Ketzer, Maribel Acosta
The paper introduces FICE, a graph neural network‑based estimator that can predict the cardinalities of SPARQL Basic Graph Pattern queries on knowledge graphs it has never seen bef…
#cardinality estimation#graph neural networks#knowledge graphs#sparql query optimization
cs.LG2026
CoDiffGRN: Rethinking Gene Regulatory Network Inference via the BEELINE-KGC Benchmark and Co-evolutionary Discrete Diffusion
Jiaze Song, Runhao Zhao, Minghao Xu +2
The paper introduces a new inductive benchmark (BEELINE‑KGC) and a co‑evolutionary discrete diffusion framework (CoDiffGRN) for inferring gene regulatory networks from single‑cell…
#gene regulatory network inference#single-cell transcriptomics#inductive learning#graph completion