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Meta-GNN: On Few-shot Node Classification in Graph Meta-learning

Meta-GNN: On Few-shot Node Classification in Graph Meta-learning

23 May 2019
Fan Zhou
Chengtai Cao
Kunpeng Zhang
Goce Trajcevski
Ting Zhong
Ji Geng
ArXivPDFHTML

Papers citing "Meta-GNN: On Few-shot Node Classification in Graph Meta-learning"

14 / 14 papers shown
Title
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks
Xuewen Dong
Jiachen Li
Shujun Li
Zhichao You
Qiang Qu
Yaroslav Kholodov
Yulong Shen
AAML
38
0
0
12 Mar 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Yonghao Liu
Fausto Giunchiglia
Ximing Li
Lan Huang
Xiaoyue Feng
Renchu Guan
OffRL
56
0
0
10 Jan 2025
CPT: Competence-progressive Training Strategy for Few-shot Node Classification
CPT: Competence-progressive Training Strategy for Few-shot Node Classification
Qilong Yan
Yufeng Zhang
Jinghao Zhang
Jingpu Duan
Jian Yin
39
0
0
03 Jan 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
37
2
0
28 Oct 2024
Detection of False Data Injection Attacks (FDIA) on Power Dynamical
  Systems With a State Prediction Method
Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method
Abhijeet Sahu
Truc Nguyen
Kejun Chen
Xiangyu Zhang
Malik Hassanaly
13
1
0
06 Sep 2024
Hard Label Black Box Node Injection Attack on Graph Neural Networks
Hard Label Black Box Node Injection Attack on Graph Neural Networks
Yu Zhou
Zihao Dong
Guofeng Zhang
Jingchen Tang
AAML
GNN
6
0
0
22 Nov 2023
Transductive Linear Probing: A Novel Framework for Few-Shot Node
  Classification
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification
Zhen Tan
Song Wang
Kaize Ding
Jundong Li
Huan Liu
24
25
0
11 Dec 2022
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
Song Wang
Yushun Dong
Xiao Huang
Chen Chen
Jundong Li
9
23
0
05 May 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami
Minwoo Lee
MQ
14
152
0
07 Mar 2022
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning
Shuangjia Zheng
Sijie Mai
Ya Sun
Haifeng Hu
Yuedong Yang
24
21
0
26 Jul 2021
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification
Shunyu Jiang
Fuli Feng
Weijia Chen
Xiang Li
Xiangnan He
9
18
0
05 Mar 2021
Few-Shot Graph Learning for Molecular Property Prediction
Few-Shot Graph Learning for Molecular Property Prediction
Zhichun Guo
Chuxu Zhang
W. Yu
John E. Herr
Olaf Wiest
Meng-Long Jiang
Nitesh V. Chawla
AI4CE
106
168
0
16 Feb 2021
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Kaize Ding
Jianling Wang
Jundong Li
Kai Shu
Chenghao Liu
Huan Liu
12
156
0
23 Jun 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
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