2023
Graph-Structured Gaussian Processes for Transferable Graph Learning
NeurIPS 2023poster
Transferable graph learning involves knowledge transferability from a source graph to a relevant target graph. The major challenge of transferable graph learning is the distribution shift between source and target graphs induced by individual node attributes and complex graph structures. To solve th…