Meta Propagation Networks for Graph Few-shot Semi-supervised Learning

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning

18 December 2021

Huan Liu

Papers citing "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning"

9 / 9 papers shown

Title
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization Yankai Chen Taotao Wang Yixiang Fang Yunyu Xiao BDL 103 1 0 26 Mar 2025
Nonlinear Correct and Smooth for Semi-Supervised Learning Yuanhang Shao Xiuwen Liu 26 1 0 09 Oct 2023
GSLB: The Graph Structure Learning Benchmark Zhixun Li Liang Wang Xin Sun Yifan Luo Yanqiao Zhu ... Xiangxin Zhou Qiang Liu Shu Wu Liang Wang Jeffrey Xu Yu 45 34 0 08 Oct 2023
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification Zhen Tan Song Wang Kaize Ding Jundong Li Huan Liu 24 26 0 11 Dec 2022
Supervised Graph Contrastive Learning for Few-shot Node Classification Zhen Tan Kaize Ding Ruocheng Guo Huan Liu OffRL 30 11 0 29 Mar 2022
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning Kaize Ding Yancheng Wang Yingzhen Yang Huan Liu 30 22 0 17 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 24 218 0 16 Feb 2022
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017