ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.03053
  4. Cited By
Graph Few-shot Learning via Knowledge Transfer

Graph Few-shot Learning via Knowledge Transfer

7 October 2019
Huaxiu Yao
Chuxu Zhang
Ying Wei
Meng-Long Jiang
Suhang Wang
Junzhou Huang
Nitesh V. Chawla
Z. Li
ArXivPDFHTML

Papers citing "Graph Few-shot Learning via Knowledge Transfer"

13 / 63 papers shown
Title
A Meta-Learning Approach for Graph Representation Learning in Multi-Task
  Settings
A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings
Davide Buffelli
Fabio Vandin
AI4CE
12
14
0
12 Dec 2020
Technical Question Answering across Tasks and Domains
Technical Question Answering across Tasks and Domains
W. Yu
Lingfei Wu
Yu Deng
Qingkai Zeng
R. Mahindru
S. Guven
Meng-Long Jiang
11
8
0
19 Oct 2020
Hierarchical Message-Passing Graph Neural Networks
Hierarchical Message-Passing Graph Neural Networks
Zhiqiang Zhong
Cheng-Te Li
Jun Pang
6
46
0
08 Sep 2020
A Survey on Machine Learning from Few Samples
A Survey on Machine Learning from Few Samples
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
6
46
0
06 Sep 2020
Stochastic Graph Recurrent Neural Network
Stochastic Graph Recurrent Neural Network
Tijin Yan
Hongwei Zhang
Zirui Li
Yuanqing Xia
GNN
BDL
6
5
0
01 Sep 2020
Complementing Representation Deficiency in Few-shot Image
  Classification: A Meta-Learning Approach
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach
X. Zhong
Cheng Gu
Wenxin Huang
Lin Li
Shuqin Chen
Chia-Wen Lin
SSL
8
12
0
21 Jul 2020
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
Graph Meta Learning via Local Subgraphs
Graph Meta Learning via Local Subgraphs
Kexin Huang
Marinka Zitnik
26
161
0
14 Jun 2020
Knowledge Distillation: A Survey
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
17
2,822
0
09 Jun 2020
Heterogeneous Relational Reasoning in Knowledge Graphs with
  Reinforcement Learning
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning
Mandana Saebi
Steven J. Krieg
Chuxu Zhang
Meng-Long Jiang
Nitesh V. Chawla
8
13
0
12 Mar 2020
Transferring Robustness for Graph Neural Network Against Poisoning
  Attacks
Transferring Robustness for Graph Neural Network Against Poisoning Attacks
Xianfeng Tang
Yandong Li
Yiwei Sun
Huaxiu Yao
P. Mitra
Suhang Wang
OOD
AAML
22
181
0
20 Aug 2019
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
165
666
0
07 Jun 2018
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
Previous
12