The author proposes a Teacher-Free Graph Self-Distillation framework that eliminates the need for teachers or GNNs, achieving high accuracy and efficiency in graph inference.
FlyKD introduces a novel approach to generate unlimited pseudo labels on the fly, improving optimization over noisy pseudo labels through Curriculum Learning.
FlyKD enables unlimited pseudo label generation with Curriculum Learning for improved optimization over noisy labels.