2 papers across 2 sessions
A predictive task-aware pre-training framework for Relational Deep Learning.
We introduce RDB2G-Bench, a benchmark for evaluating automated RDB-to-graph modeling, enabling fast, reproducible comparison across 50k graph models and 10 search methods.
