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. 2409.17475
  4. Cited By
On the Impact of Feature Heterophily on Link Prediction with Graph
  Neural Networks

On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks

26 September 2024
Jiong Zhu
Gaotang Li
Yao-An Yang
Jing Zhu
Xuehao Cui
Danai Koutra
ArXivPDFHTML

Papers citing "On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks"

3 / 3 papers shown
Title
Understanding GNNs and Homophily in Dynamic Node Classification
Understanding GNNs and Homophily in Dynamic Node Classification
Michael Ito
Danai Koutra
Jenna Wiens
85
1
0
29 Apr 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs
Learning Laplacian Positional Encodings for Heterophilous Graphs
Michael Ito
Jiong Zhu
Dexiong Chen
Danai Koutra
Jenna Wiens
95
1
0
29 Apr 2025
Simplifying Distributed Neural Network Training on Massive Graphs:
  Randomized Partitions Improve Model Aggregation
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation
Jiong Zhu
Aishwarya N. Reganti
E-Wen Huang
Charles Dickens
Nikhil S. Rao
Karthik Subbian
Danai Koutra
GNN
FedML
27
3
0
17 May 2023
1