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. 2211.10890
  4. Cited By
Single-Pass Contrastive Learning Can Work for Both Homophilic and
  Heterophilic Graph

Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph

20 November 2022
Hong Wang
Jieyu Zhang
Qi Zhu
Wei Huang
Kenji Kawaguchi
X. Xiao
ArXivPDFHTML

Papers citing "Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph"

13 / 13 papers shown
Title
Rethinking Graph Contrastive Learning through Relative Similarity Preservation
Rethinking Graph Contrastive Learning through Relative Similarity Preservation
Zhiyuan Ning
Pengfei Wang
Ziyue Qiao
Pengyang Wang
Yuanchun Zhou
94
0
0
08 May 2025
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive
  Learning Model
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model
Yujun Li
Hongyuan Zhang
Yuan Yuan
70
0
0
15 Dec 2024
LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for
  Heterogeneous Graphs
LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs
Siqing Li
Jin-Duk Park
Wei Huang
Xin Cao
Won-Yong Shin
Zhiqiang Xu
30
0
0
10 Sep 2024
WERank: Towards Rank Degradation Prevention for Self-Supervised Learning
  Using Weight Regularization
WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularization
Ali Saheb Pasand
Reza Moravej
Mahdi Biparva
Ali Ghodsi
32
2
0
14 Feb 2024
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised
  Representation Learning
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning
Mahdi Naseri
Mahdi Biparva
SSL
24
0
0
09 Feb 2024
StructComp: Substituting Propagation with Structural Compression in
  Training Graph Contrastive Learning
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning
Shengzhong Zhang
Wenjie Yang
Xinyuan Cao
Hongwei Zhang
Zengfeng Huang
21
2
0
08 Dec 2023
DMMG: Dual Min-Max Games for Self-Supervised Skeleton-Based Action
  Recognition
DMMG: Dual Min-Max Games for Self-Supervised Skeleton-Based Action Recognition
S. Guan
Xin-Yi Yu
Wei Huang
Gengfa Fang
Haiyan Lu
24
4
0
22 Feb 2023
Augmentation-Free Self-Supervised Learning on Graphs
Augmentation-Free Self-Supervised Learning on Graphs
Namkyeong Lee
Junseok Lee
Chanyoung Park
60
203
0
05 Dec 2021
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and
  Structural Role-based Node Embeddings
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings
Benedek Rozemberczki
Rik Sarkar
116
68
0
08 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
87
556
0
04 Jan 2021
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,077
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
145
833
0
28 Sep 2019
Contextual Stochastic Block Models
Contextual Stochastic Block Models
Y. Deshpande
Andrea Montanari
Elchanan Mossel
S. Sen
103
152
0
23 Jul 2018
1