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Characterizing Graph Datasets for Node Classification:
  Homophily-Heterophily Dichotomy and Beyond

Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond

13 September 2022
Oleg Platonov
Denis Kuznedelev
Artem Babenko
Liudmila Prokhorenkova
ArXivPDFHTML

Papers citing "Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond"

29 / 29 papers shown
Title
Rethinking Graph Contrastive Learning through Relative Similarity Preservation
Rethinking Graph Contrastive Learning through Relative Similarity Preservation
Zhiyuan Ning
Pengfei Wang
Ziyue Qiao
Pengyang Wang
Yuanchun Zhou
140
0
0
08 May 2025
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
Effective High-order Graph Representation Learning for Credit Card Fraud Detection
Yao Zou
Dawei Cheng
52
1
0
03 Mar 2025
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective
Wentao Yu
FedML
60
0
0
20 Feb 2025
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets
Corinna Coupette
Jeremy Wayland
Emily Simons
Bastian Alexander Rieck
78
1
0
04 Feb 2025
Mixture of Experts for Node Classification
Mixture of Experts for Node Classification
Yu Shi
Yiqi Wang
WeiXuan Lang
Jiaxin Zhang
Pan Dong
Aiping Li
174
0
0
30 Nov 2024
ClassContrast: Bridging the Spatial and Contextual Gaps for Node
  Representations
ClassContrast: Bridging the Spatial and Contextual Gaps for Node Representations
Md Joshem Uddin
Astrit Tola
Varin Sikand
Cüneyt Gürcan Akçora
Baris Coskunuzer
31
1
0
03 Oct 2024
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
Jiong Zhu
Gaotang Li
Yao-An Yang
Jing Zhu
Xuehao Cui
Danai Koutra
30
3
0
26 Sep 2024
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with
  Tabular Node Features
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features
Gleb Bazhenov
Oleg Platonov
Liudmila Prokhorenkova
LMTD
21
1
0
22 Sep 2024
Learning Personalized Scoping for Graph Neural Networks under
  Heterophily
Learning Personalized Scoping for Graph Neural Networks under Heterophily
Gangda Deng
Hongkuan Zhou
R. Kannan
Viktor Prasanna
36
0
0
11 Sep 2024
Generalized Learning of Coefficients in Spectral Graph Convolutional
  Networks
Generalized Learning of Coefficients in Spectral Graph Convolutional Networks
Mustafa Coşkun
A. Grama
Mehmet Koyutürk
37
0
0
07 Sep 2024
Better Not to Propagate: Understanding Edge Uncertainty and
  Over-smoothing in Signed Graph Neural Networks
Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks
Yoonhyuk Choi
Jiho Choi
Taewook Ko
Chong-Kwon Kim
46
0
0
09 Aug 2024
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks
Ferran Hernandez Caralt
Guillermo Bernárdez Gil
Iulia Duta
Pietro Lio'
Eduard Alarcón-Cot
32
2
0
30 Jul 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective
  Methods
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods
Junhong Lin
Xiaojie Guo
Shuaicheng Zhang
Dawei Zhou
Yada Zhu
Julian Shun
38
1
0
15 Jul 2024
What Is Missing In Homophily? Disentangling Graph Homophily For Graph
  Neural Networks
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks
Yilun Zheng
Sitao Luan
Lihui Chen
44
5
0
27 Jun 2024
Transfer Entropy in Graph Convolutional Neural Networks
Transfer Entropy in Graph Convolutional Neural Networks
Adrian Moldovan
A. Cataron
Razvan Andonie
GNN
23
1
0
08 Jun 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts
  Approach
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach
Haoyu Han
Juanhui Li
Wei Huang
Xianfeng Tang
Hanqing Lu
Chen Luo
Hui Liu
Jiliang Tang
42
5
0
05 Jun 2024
Unraveling the Impact of Heterophilic Structures on Graph
  Positive-Unlabeled Learning
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
Yuhao Wu
Jiangchao Yao
Bo Han
Lina Yao
Tongliang Liu
31
2
0
30 May 2024
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
Siddhartha Shankar Das
S. Ferdous
M. Halappanavar
Edoardo Serra
A. Pothen
34
2
0
24 May 2024
Contextualized Messages Boost Graph Representations
Contextualized Messages Boost Graph Representations
Brian Godwin Lim
Galvin Brice Lim
Renzo Roel Tan
Kazushi Ikeda
AI4CE
70
1
0
19 Mar 2024
Mitigating Oversmoothing Through Reverse Process of GNNs for
  Heterophilic Graphs
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
M. Park
Jaeseung Heo
Dongwoo Kim
29
0
0
11 Mar 2024
Feature Distribution on Graph Topology Mediates the Effect of Graph
  Convolution: Homophily Perspective
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
Soo Yong Lee
Sunwoo Kim
Fanchen Bu
Jaemin Yoo
Jiliang Tang
Kijung Shin
45
6
0
07 Feb 2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive
  Filtering
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering
Jingwei Guo
Kaizhu Huang
Xinping Yi
Zixian Su
Rui Zhang
24
3
0
17 Jan 2024
A critical look at the evaluation of GNNs under heterophily: Are we
  really making progress?
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
Oleg Platonov
Denis Kuznedelev
Michael Diskin
Artem Babenko
Liudmila Prokhorenkova
29
188
0
22 Feb 2023
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge
  Splitting
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting
Jingwei Guo
Kaizhu Huang
Rui Zhang
Xinping Yi
AAML
28
4
0
27 May 2022
Good Classification Measures and How to Find Them
Good Classification Measures and How to Find Them
Martijn Gösgens
A. Zhiyanov
Alexey Tikhonov
Liudmila Prokhorenkova
95
30
0
22 Jan 2022
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and
  Structural Role-based Node Embeddings
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings
Benedek Rozemberczki
Rik Sarkar
121
68
0
08 Jan 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
169
1,078
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
148
836
0
28 Sep 2019
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