Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on
Graphs with Few Labels

Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels

28 February 2019

Papers citing "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels"

12 / 112 papers shown

Title
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Shu Wu Liang Wang SSL GNN 19 28 0 03 Sep 2020
Mutual Teaching for Graph Convolutional Networks Kun Zhan Chaoxi Niu SSL 22 31 0 02 Sep 2020
SAIL: Self-Augmented Graph Contrastive Learning Lu Yu Shichao Pei Lizhong Ding Jun Zhou Longfei Li Chuxu Zhang Xiangliang Zhang SSL 23 39 0 02 Sep 2020
Investigating and Mitigating Degree-Related Biases in Graph Convolutional Networks Xianfeng Tang Huaxiu Yao Yiwei Sun Yiqi Wang Jiliang Tang Charu C. Aggarwal P. Mitra Suhang Wang 26 2 0 28 Jun 2020
Self-supervised Learning on Graphs: Deep Insights and New Direction Wei Jin Tyler Derr Haochen Liu Yiqi Wang Suhang Wang Zitao Liu Jiliang Tang SSL 16 172 0 17 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 50 1,586 0 15 Jun 2020
Understanding and Resolving Performance Degradation in Graph Convolutional Networks Kuangqi Zhou Yanfei Dong Kaixin Wang W. Lee Bryan Hooi Huan Xu Jiashi Feng GNN BDL 42 89 0 12 Jun 2020
Self-Supervised Graph Representation Learning via Global Context Prediction Zhen Peng Yixiang Dong Minnan Luo Xiao-Ming Wu Q. Zheng SSL 14 64 0 03 Mar 2020
Effective Stabilized Self-Training on Few-Labeled Graph Data Ziang Zhou Jieming Shi Shengzhong Zhang Zengfeng Huang Qing Li 34 12 0 07 Oct 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun Zhanxing Zhu Zhouchen Lin GNN 33 80 0 14 Aug 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks Sitao Luan Mingde Zhao Xiao-Wen Chang Doina Precup GNN 34 155 0 05 Jun 2019
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 280 1,400 0 01 Dec 2016