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Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method
  for Few-shot Node Tasks

Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks

19 September 2023
Hao Liu
Jiarui Feng
Lecheng Kong
Dacheng Tao
Yixin Chen
Muhan Zhang
    OffRL
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Papers citing "Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks"

5 / 5 papers shown
Title
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive
  Learning
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang
Hankook Lee
Jinwoo Shin
VLM
SSL
27
15
0
02 Mar 2023
Graph Few-shot Learning with Task-specific Structures
Graph Few-shot Learning with Task-specific Structures
Song Wang
Chen Chen
Jundong Li
37
22
0
21 Oct 2022
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot
  Learning
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning
Yizhao Gao
Nanyi Fei
Guangzhen Liu
Zhiwu Lu
Tao Xiang
Songfang Huang
53
35
0
23 Jan 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 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
11,659
0
09 Mar 2017
1