Teaching Yourself: Graph Self-Distillation on Neighborhood for Node
Classification

Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification

5 October 2022

Lirong Wu

Zicheng Liu

Stan Z. Li

Papers citing "Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification"

7 / 7 papers shown

Title
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation Weigang Lu Ziyu Guan Wei Zhao Yaming Yang 21 3 0 23 May 2024
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks Tianyu Fan Lirong Wu Yufei Huang Haitao Lin Cheng Tan Zhangyang Gao Stan Z. Li 16 3 0 03 Mar 2024
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer Shuai Zheng Zhizhe Liu Zhenfeng Zhu Xingxing Zhang Jianxin Li Yao-Min Zhao 25 0 0 26 Oct 2023
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs Lirong Wu Haitao Lin Yufei Huang Stan Z. Li 9 25 0 09 Jun 2023
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs Taiqiang Wu Zhe Zhao Jiahao Wang Xingyu Bai Lei Wang Ngai Wong Yujiu Yang 47 9 0 24 Mar 2023
Co-learning: Learning from Noisy Labels with Self-supervision Cheng Tan Jun-Xiong Xia Lirong Wu Stan Z. Li NoLa 59 114 0 05 Aug 2021
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang 141 222 0 23 Mar 2020