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"

7 / 7 papers shown

Title
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization Yankai Chen Taotao Wang Yixiang Fang Yunyu Xiao BDL 100 1 0 26 Mar 2025
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 35 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 28 11 0 29 Mar 2022
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning Kaize Ding Yancheng Wang Yingzhen Yang Huan Liu 25 22 0 17 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 1,945 0 09 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017