Few-shot Node Classification with Extremely Weak Supervision

6 January 2023

Papers citing "Few-shot Node Classification with Extremely Weak Supervision"

34 / 34 papers shown

Title
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 227 3 0 07 Jan 2025
Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen Kaize Ding Shixiang Zhu 77 5 0 14 Jun 2023
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification Zhen Tan Song Wang Kaize Ding Jundong Li Huan Liu 63 26 0 11 Dec 2022
Graph Few-shot Learning with Task-specific Structures Song Wang Chen Chen Jundong Li 71 24 0 21 Oct 2022
Task-Adaptive Few-shot Node Classification Song Wang Kaize Ding Chuxu Zhang Chen Chen Jundong Li OffRL 70 50 0 23 Jun 2022
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs Song Wang Yushun Dong Xiao Huang Chen Chen Jundong Li 50 23 0 05 May 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 77 229 0 16 Feb 2022
Graph Few-shot Class-incremental Learning Zhen Tan Kaize Ding Ruocheng Guo Huan Liu CLL GNN 70 60 0 23 Dec 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 300 2,343 0 04 Mar 2021
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang Wenhao Yu John E. Herr Olaf Wiest Meng Jiang Nitesh Chawla AI4CE 145 174 0 16 Feb 2021
Heterogeneous Similarity Graph Neural Network on Electronic Health Records Zheng Liu Xiaohan Li Hao Peng Lifang He Philip S. Yu 56 66 0 17 Jan 2021
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 140 235 0 24 Oct 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks Kaize Ding Jianling Wang Jundong Li Kai Shu Chenghao Liu Huan Liu 48 162 0 23 Jun 2020
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates Jeff Calder Brendan Cook Matthew Thorpe D. Slepčev 62 84 0 19 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 82 165 0 14 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 351 6,792 0 13 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 298 2,725 0 02 May 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 183 12,073 0 13 Nov 2019
Learning to Propagate for Graph Meta-Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang 63 96 0 11 Sep 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification Xinzhe Li Qianru Sun Yaoyao Liu Shibao Zheng Qin Zhou Tat-Seng Chua Bernt Schiele SSL 59 270 0 03 Jun 2019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning Fan Zhou Chengtai Cao Kunpeng Zhang Goce Trajcevski Ting Zhong Ji Geng 59 230 0 23 May 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 742 8,517 0 03 Jan 2019
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 302 10,282 0 10 Jul 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 221 2,232 0 08 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 65 1,283 0 02 Mar 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 283 4,047 0 16 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 449 20,124 0 30 Oct 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking Aleksandar Bojchevski Stephan Günnemann BDL 83 642 0 12 Jul 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 289 8,129 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,894 0 09 Mar 2017
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 98 1,719 0 01 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 595 28,999 0 09 Sep 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 355 7,316 0 13 Jun 2016
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 185 1,582 0 09 Mar 2015