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. 2003.00992
  4. Cited By
Fiedler Regularization: Learning Neural Networks with Graph Sparsity

Fiedler Regularization: Learning Neural Networks with Graph Sparsity

2 March 2020
Edric Tam
David B. Dunson
ArXivPDFHTML

Papers citing "Fiedler Regularization: Learning Neural Networks with Graph Sparsity"

3 / 3 papers shown
Title
Robust Node Representation Learning via Graph Variational Diffusion
  Networks
Robust Node Representation Learning via Graph Variational Diffusion Networks
Jun Zhuang
M. A. Hasan
26
7
0
18 Dec 2023
Robust Node Classification on Graphs: Jointly from Bayesian Label
  Transition and Topology-based Label Propagation
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation
Jun Zhuang
M. Hasan
41
20
0
21 Aug 2022
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,640
0
03 Jul 2012
1