2 papers
cs.LG2026
To Learn is to Wander: Learning Across Graphs and Tasks with Random Walks
Louis Tichelman, Xingyue Huang, Jinwoo Kim +1
Graph foundation models aim to transfer across graphs, feature spaces, relational schemas, and prediction tasks, yet existing approaches typically generalize only within particular…
cs.LG2026
RelAgent: LLM Agents as Data Scientists for Relational Learning
Xingyue Huang, Louis Tichelman, Jinwoo Kim +2
Relational learning is a challenging problem that has motivated a wide range of approaches, including graph-based models (e.g., graph neural networks, graph transformers), tabular…