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. 2310.11102
  4. Cited By
Refining Latent Representations: A Generative SSL Approach for
  Heterogeneous Graph Learning

Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning

17 October 2023
Yulan Hu
Zhirui Yang
Ouyang Sheng
Yong Liu
ArXivPDFHTML

Papers citing "Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning"

4 / 4 papers shown
Title
Simple and Efficient Heterogeneous Graph Neural Network
Simple and Efficient Heterogeneous Graph Neural Network
Xiaocheng Yang
Mingyu Yan
Shirui Pan
Xiaochun Ye
Dongrui Fan
37
120
0
06 Jul 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
255
5,353
0
11 Nov 2021
Leveraging Meta-path Contexts for Classification in Heterogeneous
  Information Networks
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks
Xiang Li
Danhao Ding
B. Kao
Yizhou Sun
N. Mamoulis
27
45
0
18 Dec 2020
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
167
1,157
0
03 Mar 2020
1