Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment

no code implementations • 15 Feb 2023 • Meng Liu, Ke Liang, Yawei Zhao, Wenxuan Tu, Sihang Zhou, Xinbiao Gan, Xinwang Liu, Kunlun He

To address this issue, we propose a self-supervised method called S2T for temporal graph learning, which extracts both temporal and structural information to learn more informative node representations.

Graph Learning