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2202.07082
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Graph Neural Networks for Graphs with Heterophily: A Survey
14 February 2022
Xin-Yang Zheng
Yi Wang
Yixin Liu
Ming Li
Miao Zhang
Di Jin
Philip S. Yu
Shirui Pan
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Papers citing
"Graph Neural Networks for Graphs with Heterophily: A Survey"
31 / 31 papers shown
Title
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
Xunkai Li
Zhengyu Wu
Kaichi Yu
Hongchao Qin
Guang Zeng
Rong-Hua Li
Guoren Wang
27
0
0
02 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
64
0
0
29 Apr 2025
MKE-Coder: Multi-Axial Knowledge with Evidence Verification in ICD Coding for Chinese EMRs
Xinxin You
Xien Liu
Xue Yang
Ziyi Wang
Ji Wu
44
0
0
19 Feb 2025
Graph Condensation: A Survey
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
83
19
0
28 Jan 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach
Xunkai Li
Bowen Fan
Zhengyu Wu
Zhiyu Li
Rong-Hua Li
Guoren Wang
MU
30
0
0
21 Jan 2025
THeGCN: Temporal Heterophilic Graph Convolutional Network
Yuchen Yan
Yuzhong Chen
Huiyuan Chen
Xiaoting Li
Zhe Xu
Zhichen Zeng
Lihui Liu
Zhining Liu
Hanghang Tong
82
0
0
21 Dec 2024
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting
Shaohan Yu
Pan Deng
Yu Zhao
J. Liu
Ziáng Wang
MoE
84
0
0
30 Nov 2024
Simplifying complex machine learning by linearly separable network embedding spaces
Alexandros Xenos
N. Malod-Dognin
Natasa Przulj
20
0
0
02 Oct 2024
Exploring the Potential of Large Language Models for Heterophilic Graphs
Yuxia Wu
Shujie Li
Yuan Fang
Chuan Shi
32
1
0
26 Aug 2024
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts
Jinluan Yang
Zhengyu Chen
Teng Xiao
Wenqiao Zhang
Yong Lin
Kun Kuang
48
0
0
18 Aug 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
Chu Zhao
Enneng Yang
Yuliang Liang
Pengxiang Lan
Yuting Liu
Jianzhe Zhao
Guibing Guo
Xingwei Wang
OOD
DiffM
CML
51
5
0
01 Aug 2024
Unleash Graph Neural Networks from Heavy Tuning
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
AI4CE
27
2
0
21 May 2024
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression
Kyriaki-Margarita Bintsi
Tamara T. Mueller
Sophie Starck
V. Baltatzis
A. Hammers
Daniel Rueckert
12
2
0
26 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
Jing Zhu
Xiang Song
V. Ioannidis
Danai Koutra
Christos Faloutsos
39
13
0
25 Sep 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
Yi Zhang
Yuying Zhao
Zhaoqing Li
Xueqi Cheng
Yu-Chiang Frank Wang
Olivera Kotevska
Philip S. Yu
Tyler Derr
18
9
0
31 Aug 2023
Graph Structure from Point Clouds: Geometric Attention is All You Need
D. Murnane
GNN
3DPC
6
4
0
31 Jul 2023
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks
Vignesh Kothapalli
Tom Tirer
Joan Bruna
22
10
0
04 Jul 2023
Clarify Confused Nodes via Separated Learning
Jiajun Zhou
Sheng Gong
Chenxuan Xie
Shanqing Yu
Qi Xuan
Xiaoniu Yang
Xiaoniu Yang
37
3
0
04 Jun 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders
Dingsu Wang
Yuchen Yan
Ruizhong Qiu
Yada Zhu
Kaiyu Guan
A. Margenot
Hanghang Tong
AI4TS
28
27
0
29 May 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion
Dai Shi
Zhiqi Shao
Yi Guo
Qianchuan Zhao
Junbin Gao
22
1
0
25 May 2023
Clenshaw Graph Neural Networks
Y. Guo
Zhewei Wei
GNN
45
10
0
29 Oct 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion
Qi Chen
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
DiffM
42
32
0
29 Jun 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
38
98
0
16 May 2022
Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination
Jie Chen
Weiqi Liu
Jianghuai Pu
4
10
0
01 Feb 2022
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
Chenhui Deng
Xiuyu Li
Zhuobo Feng
Zhiru Zhang
AAML
40
18
0
30 Jan 2022
Label-Wise Graph Convolutional Network for Heterophilic Graphs
Enyan Dai
Shijie Zhou
Zhimeng Guo
Suhang Wang
35
18
0
15 Oct 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
87
554
0
04 Jan 2021
Graph Geometry Interaction Learning
Shichao Zhu
Shirui Pan
Chuan Zhou
Jia Wu
Yanan Cao
Bin Wang
53
77
0
23 Oct 2020
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
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
145
828
0
28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
226
1,726
0
09 Jun 2018
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