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. 2301.12361
  4. Cited By
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for
  Enhanced Domain Transfer in Graph-Structured Data

Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data

29 January 2023
Mengxi Wu
Mohammad Rostami
    AI4CE
ArXivPDFHTML

Papers citing "Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data"

4 / 4 papers shown
Title
Curvature Diversity-Driven Deformation and Domain Alignment for Point
  Cloud
Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud
Mengxi Wu
Hao Huang
Yi Fang
Mohammad Rostami
24
0
0
03 Oct 2024
Robust Internal Representations for Domain Generalization
Robust Internal Representations for Domain Generalization
Mohammad Rostami
OOD
25
0
0
27 Sep 2023
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain
  Adaptation
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Liang Li
Qingming Huang
Qi Tian
38
18
0
13 Jul 2021
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,300
0
28 May 2015
1