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"

18 / 18 papers shown

Title
Co-learning: Learning from Noisy Labels with Self-supervision Cheng Tan Jun Xia Lirong Wu Stan Z. Li NoLa 104 125 0 05 Aug 2021
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages Yi Luo Aiguo Chen Ke Yan Ling Tian 51 15 0 16 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 81 240 0 14 Jun 2021
Graph-MLP: Node Classification without Message Passing in Graph Yang Hu Haoxuan You Zhecan Wang Zhicheng Wang Erjin Zhou Yue Gao 101 114 0 08 Jun 2021
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework Cheng Yang Jiawei Liu C. Shi 56 128 0 04 Mar 2021
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 98 605 0 18 Jul 2020
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Xiuming Zhang Dacheng Tao Xinchao Wang 210 231 0 23 Mar 2020
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao Kaisheng Ma FedML 68 861 0 17 May 2019
Label Propagation for Deep Semi-supervised Learning Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum SSL 99 623 0 09 Apr 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 754 8,526 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,515 0 20 Dec 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 216 1,686 0 14 Oct 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 144 1,513 0 30 Jan 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 276 9,760 0 25 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 501 15,232 0 07 Jun 2017
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 342 7,650 0 30 Jun 2016
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 310 6,672 0 08 Jun 2015
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 392 33,521 0 16 Oct 2013