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cs.AI2026
What Makes a Desired Graph for Relational Deep Learning?
Yao Cheng, Siqiang Luo
Relational deep learning (RDL) converts relational databases (RDBs) into heterogeneous graphs, but graphs derived directly from database schemas are often not well suited for how g…
cs.LG2026
Modality-free Graph In-context Alignment
Wei Zhuo, Siqiang Luo
In-context learning (ICL) converts static encoders into task-conditioned reasoners, enabling adaptation to new data from just a few examples without updating pretrained parameters.…