Boosting Graph Neural Networks via Adaptive Knowledge Distillation

12 October 2022

Papers citing "Boosting Graph Neural Networks via Adaptive Knowledge Distillation"

6 / 6 papers shown

Title
Scaled Supervision is an Implicit Lipschitz Regularizer Z. Ouyang Chunhui Zhang Yaning Jia Soroush Vosoughi BDL OffRL 72 0 0 19 Mar 2025
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems Hao Tian Sourav Medya Wei Ye 13 4 0 14 Dec 2023
Knowledge Distillation on Graphs: A Survey Yijun Tian Shichao Pei Xiangliang Zhang Chuxu Zhang Nitesh V. Chawla 10 28 0 01 Feb 2023
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh V. Chawla 29 14 0 22 Aug 2022
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang W. Yu John E. Herr Olaf Wiest Meng-Long Jiang Nitesh V. Chawla AI4CE 106 168 0 16 Feb 2021
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang 141 226 0 23 Mar 2020