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. 2203.12265
  4. Cited By
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual
  Information Maximization

Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization

23 March 2022
Wei Dong
Junsheng Wu
Yi-wei Luo
Zongyuan Ge
Peifeng Wang
    SSL
ArXivPDFHTML

Papers citing "Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization"

3 / 3 papers shown
Title
RS-DGC: Exploring Neighborhood Statistics for Dynamic Gradient
  Compression on Remote Sensing Image Interpretation
RS-DGC: Exploring Neighborhood Statistics for Dynamic Gradient Compression on Remote Sensing Image Interpretation
Weiying Xie
Zixuan Wang
Jitao Ma
Daixun Li
Yunsong Li
30
0
0
29 Dec 2023
From Cluster Assumption to Graph Convolution: Graph-based
  Semi-Supervised Learning Revisited
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
Zheng Wang
H. Ding
L. Pan
Jianhua Li
Zhiguo Gong
Philip S. Yu
GNN
29
5
0
24 Sep 2023
L$^2$-GCN: Layer-Wise and Learned Efficient Training of Graph
  Convolutional Networks
L2^22-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Yuning You
Tianlong Chen
Zhangyang Wang
Yang Shen
GNN
101
82
0
30 Mar 2020
1