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

23 May 2019

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

31 / 31 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 43 0 0 12 Mar 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Yuqi Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 162 0 0 10 Jan 2025
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization Song Wang Xiaodong Yang Rashidul Islam Huiyuan Chen Minghua Xu Jundong Li Yiwei Cai OODD 62 2 0 07 Jan 2025
CPT: Competence-progressive Training Strategy for Few-shot Node Classification Qilong Yan Yufeng Zhang Jinghao Zhang Jingpu Duan Jian Yin 56 0 0 03 Jan 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 42 2 0 28 Oct 2024
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 40 1 0 06 Sep 2024
POWN: Prototypical Open-World Node Classification Marcel Hoffmann Lukas Galke A. Scherp 34 0 0 14 Jun 2024
Hard Label Black Box Node Injection Attack on Graph Neural Networks Yu Zhou Zihao Dong Guofeng Zhang Jingchen Tang AAML GNN 16 0 0 22 Nov 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 14 13 0 26 Aug 2023
Few-shot Node Classification with Extremely Weak Supervision Song Wang Yushun Dong Kaize Ding Chen Chen Jundong Li 21 19 0 06 Jan 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
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges Jing Ren Feng Xia Azadeh Noori Hoshyar Charu C. Aggarwal 42 26 0 11 Dec 2022
Metric Based Few-Shot Graph Classification Donato Crisostomi Simone Antonelli Valentino Maiorca Luca Moschella R. Marin Emanuele Rodolà 37 5 0 08 Jun 2022
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs Song Wang Yushun Dong Xiao Huang Chen Chen Jundong Li 28 23 0 05 May 2022
Supervised Graph Contrastive Learning for Few-shot Node Classification Zhen Tan Kaize Ding Ruocheng Guo Huan Liu OffRL 32 11 0 29 Mar 2022
Few-Shot Learning on Graphs Chuxu Zhang Kaize Ding Jundong Li Xiangliang Zhang Yanfang Ye Nitesh V. Chawla Huan Liu 30 18 0 17 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 36 157 0 07 Mar 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 18 31 0 20 Jan 2022
Graph Few-shot Class-incremental Learning Zhen Tan Kaize Ding Ruocheng Guo Huan Liu CLL GNN 29 59 0 23 Dec 2021
Node-wise Localization of Graph Neural Networks Zemin Liu Yuan Fang Chenghao Liu Guosheng Lin 27 25 0 27 Oct 2021
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification Yu-Chiang Frank Wang Siegfried Mercelis Tyler Derr 21 22 0 22 Oct 2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks Jiaming Mu Binghui Wang Qi Li Kun Sun Mingwei Xu Zhuotao Liu AAML 23 34 0 21 Aug 2021
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning Shuangjia Zheng Sijie Mai Ya Sun Haifeng Hu Yuedong Yang 35 21 0 26 Jul 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 42 24 0 11 Jun 2021
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification Shunyu Jiang Fuli Feng Weijia Chen Xiang Li Xiangnan He 25 18 0 05 Mar 2021
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang Wenhao Yu John E. Herr Olaf Wiest Meng Jiang Nitesh V. Chawla AI4CE 119 171 0 16 Feb 2021
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 88 116 0 08 Dec 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks Kaize Ding Jianling Wang Jundong Li Kai Shu Chenghao Liu Huan Liu 25 156 0 23 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 42 161 0 14 Jun 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction Jinheon Baek Dong Bok Lee Sung Ju Hwang 19 87 0 11 Jun 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 389 11,700 0 09 Mar 2017