Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
GTGIB integrates Graph Structure Learning (GSL) with Temporal Graph Information Bottleneck (TGIB) to improve inductive representation learning on dynamic networks. It enhances node neighborhoods through structured sampling and refines graph features using an information bottleneck objective, leading to more succinct and task-relevant representations.