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. 2412.14451
  4. Cited By
CLDG: Contrastive Learning on Dynamic Graphs

CLDG: Contrastive Learning on Dynamic Graphs

19 December 2024
Yiming Xu
Bin Shi
Teng Ma
Bo Dong
Haoyi Zhou
Qinghua Zheng
ArXivPDFHTML

Papers citing "CLDG: Contrastive Learning on Dynamic Graphs"

3 / 3 papers shown
Title
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
Xingbo Fu
Zihan Chen
Yinhan He
Song Wang
Binchi Zhang
Chen Chen
Jundong Li
OOD
FedML
61
1
0
24 Feb 2025
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood
  Prediction
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
Eli Chien
Wei-Cheng Chang
Cho-Jui Hsieh
Hsiang-Fu Yu
Jiong Zhang
O. Milenkovic
Inderjit S Dhillon
154
130
0
29 Oct 2021
Inductive Representation Learning in Temporal Networks via Mining
  Neighborhood and Community Influences
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences
Meng Liu
Yong Liu
AI4TS
85
37
0
01 Oct 2021
1