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Beyond Homophily in Graph Neural Networks: Current Limitations and
  Effective Designs

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

20 June 2020
Jiong Zhu
Yujun Yan
Lingxiao Zhao
Mark Heimann
Leman Akoglu
Danai Koutra
    GNN
ArXivPDFHTML

Papers citing "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs"

12 / 12 papers shown
Title
Automated Polynomial Filter Learning for Graph Neural Networks
Automated Polynomial Filter Learning for Graph Neural Networks
Wendi Yu
Zhichao Hou
Xiaorui Liu
24
0
0
16 Jul 2023
Evolving Computation Graphs
Evolving Computation Graphs
Andreea Deac
Jian Tang
24
1
0
22 Jun 2023
Complete the Missing Half: Augmenting Aggregation Filtering with
  Diversification for Graph Convolutional Neural Networks
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks
Sitao Luan
Mingde Zhao
Chenqing Hua
Xiao-Wen Chang
Doina Precup
GNN
19
33
0
21 Dec 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric
  Polynomials
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials
Xun Liu
Alex Hay-Man Ng
Fangyu Lei
Yikuan Zhang
Zhengmin Li
GNN
22
2
0
30 Sep 2022
Sheaf Neural Networks with Connection Laplacians
Sheaf Neural Networks with Connection Laplacians
Federico Barbero
Cristian Bodnar
Haitz Sáez de Ocáriz Borde
Michael M. Bronstein
Petar Velivcković
Pietro Lio
29
41
0
17 Jun 2022
Block Modeling-Guided Graph Convolutional Neural Networks
Block Modeling-Guided Graph Convolutional Neural Networks
Dongxiao He
Chundong Liang
Huixin Liu
Ming-Chang Wen
Pengfei Jiao
Zhiyong Feng
GNN
29
65
0
27 Dec 2021
Mini-batch graphs for robust image classification
Mini-batch graphs for robust image classification
Arnab Kumar Mondal
V. Jain
K. Siddiqi
OOD
41
6
0
22 Apr 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear
  Separability and Out-of-Distribution Generalization
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
Aseem Baranwal
K. Fountoulakis
Aukosh Jagannath
OODD
39
75
0
13 Feb 2021
Adaptive Universal Generalized PageRank Graph Neural Network
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
34
709
0
14 Jun 2020
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
1,080
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
148
837
0
28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
279
1,944
0
09 Jun 2018
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