Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification

27 July 2020

Papers citing "Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification"

7 / 7 papers shown

Title
Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional Networks S. Shi Jian Chen Kai Qiao Shuai Yang Linyuan Wang B. Yan GNN 67 1 0 08 May 2022
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment Junseok Lee Yunhak Oh Yeonjun In Namkyeong Lee Dongmin Hyun Chanyoung Park 69 14 0 04 Apr 2022
Semi-Supervised Graph Learning Meets Dimensionality Reduction Alex Morehead Watchanan Chantapakul Jianlin Cheng 66 0 0 23 Mar 2022
GraphPAS: Parallel Architecture Search for Graph Neural Networks Jiamin Chen Jianliang Gao Yibo Chen Moctard Babatounde Oloulade Tengfei Lyu Zhao Li GNN 67 21 0 07 Dec 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 154 209 0 26 Feb 2021
SDGNN: Learning Node Representation for Signed Directed Networks Junjie Huang Huawei Shen Liang Hou Xueqi Cheng 104 91 0 07 Jan 2021
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks Zhihua Jin Yong Wang Qianwen Wang Yao Ming Tengfei Ma Huamin Qu HAI 80 34 0 22 Nov 2020