PhD student, Korea Advanced Institute of Science & Technology
2 papers at NeurIPS 2025
We propose a graph-based unsupervised pre-training method for neural architecture encoding.
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.