Task-Adaptive Few-shot Node Classification

23 June 2022

Papers citing "Task-Adaptive Few-shot Node Classification"

30 / 30 papers shown

Title
CPT: Competence-progressive Training Strategy for Few-shot Node Classification Qilong Yan Yufeng Zhang Jinghao Zhang Jingpu Duan Jian Yin 101 0 0 03 Jan 2025
Meta-Inductive Node Classification across Graphs Zhihao Wen Yuan Fang Zemin Liu 58 36 0 14 May 2021
Graph Prototypical Networks for Few-shot Learning on Attributed Networks Kaize Ding Jianling Wang Jundong Li Kai Shu Chenghao Liu Huan Liu 31 161 0 23 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 70 164 0 14 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 163 2,687 0 02 May 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 104 4,476 0 23 Apr 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification M. Lichtenstein P. Sattigeri Rogerio Feris Raja Giryes Leonid Karlinsky 60 77 0 14 Mar 2020
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures Jatin Chauhan Deepak Nathani Manohar Kaul 31 69 0 27 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 83 11,959 0 13 Nov 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh Chawla Z. Li 74 165 0 07 Oct 2019
Learning to Propagate for Graph Meta-Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang 47 96 0 11 Sep 2019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning Fan Zhou Chengtai Cao Kunpeng Zhang Goce Trajcevski Ting Zhong Ji Geng 40 227 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 276 8,441 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 468 5,457 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 134 1,324 0 11 Dec 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 127 7,554 0 01 Oct 2018
One-Shot Relational Learning for Knowledge Graphs Wenhan Xiong Mo Yu Shiyu Chang Xiaoxiao Guo William Yang Wang 69 217 0 27 Aug 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 202 10,152 0 10 Jul 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 451 1,965 0 09 Jun 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 82 1,310 0 23 May 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 174 4,035 0 16 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 283 19,902 0 30 Oct 2017
FiLM: Visual Reasoning with a General Conditioning Layer Ethan Perez Florian Strub H. D. Vries Vincent Dumoulin Aaron Courville FAtt AIMat OffRL AI4CE 227 2,178 0 22 Sep 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking Aleksandar Bojchevski Stephan Günnemann BDL 67 641 0 12 Jul 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 337 15,066 0 07 Jun 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 173 8,072 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 742 11,793 0 09 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 402 28,795 0 09 Sep 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 257 7,286 0 13 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 521 149,474 0 22 Dec 2014