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GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous
  Graphs

GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs

1 November 2022
Marios Papachristou
Rishab Goel
Frank Portman
M. Miller
Rong Jin
ArXivPDFHTML

Papers citing "GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs"

4 / 4 papers shown
Title
Simplifying Node Classification on Heterophilous Graphs with Compatible
  Label Propagation
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation
Zhiqiang Zhong
Sergey Ivanov
Jun Pang
27
9
0
19 May 2022
Graph Neural Networks with Learnable Structural and Positional
  Representations
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi
A. Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
GNN
182
304
0
15 Oct 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
167
1,058
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
145
828
0
28 Sep 2019
1