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. 2201.03812
  4. Cited By
Bootstrapping Informative Graph Augmentation via A Meta Learning
  Approach

Bootstrapping Informative Graph Augmentation via A Meta Learning Approach

11 January 2022
Hang Gao
Jiangmeng Li
Wenwen Qiang
Lingyu Si
Fuchun Sun
Changwen Zheng
ArXivPDFHTML

Papers citing "Bootstrapping Informative Graph Augmentation via A Meta Learning Approach"

6 / 6 papers shown
Title
Introducing Diminutive Causal Structure into Graph Representation
  Learning
Introducing Diminutive Causal Structure into Graph Representation Learning
Hang Gao
Peng Qiao
Yifan Jin
Fengge Wu
Jiangmeng Li
Changwen Zheng
44
4
0
13 Jun 2024
Augment to Interpret: Unsupervised and Inherently Interpretable Graph
  Embeddings
Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings
Gregory Scafarto
Madalina Ciortan
Simon Tihon
Quentin Ferre
13
2
0
28 Sep 2023
Introducing Expertise Logic into Graph Representation Learning from A
  Causal Perspective
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective
Hang Gao
Jiangmeng Li
Wenwen Qiang
Lingyu Si
Xingzhe Su
Feng Wu
Changwen Zheng
Fuchun Sun
34
0
0
20 Jan 2023
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
Jiangmeng Li
Wenwen Qiang
Yanan Zhang
Wenyi Mo
Changwen Zheng
Bing-Huang Su
Hui Xiong
SSL
21
14
0
16 Sep 2022
A Molecular Multimodal Foundation Model Associating Molecule Graphs with
  Natural Language
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
Bing-Huang Su
Dazhao Du
Zhao-Qing Yang
Yujie Zhou
Jiangmeng Li
Anyi Rao
Haoran Sun
Zhiwu Lu
Ji-Rong Wen
44
107
0
12 Sep 2022
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
317
11,681
0
09 Mar 2017
1