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Finding the Missing-half: Graph Complementary Learning for
  Homophily-prone and Heterophily-prone Graphs

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs

13 June 2023
Y. Zheng
He Zhang
V. Lee
Yu Zheng
Tianlin Li
Shirui Pan
ArXivPDFHTML

Papers citing "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs"

12 / 12 papers shown
Title
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
69
0
0
29 Apr 2025
A Generative Graph Contrastive Learning Model with Global Signal
A Generative Graph Contrastive Learning Model with Global Signal
Xiaofan Wei
Binyan Zhang
161
0
0
25 Apr 2025
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
Jiapu Wang
Kai Sun
Linhao Luo
Wei Wei
Yongli Hu
Alan Wee-Chung Liew
Shirui Pan
Baocai Yin
52
5
0
31 Dec 2024
RIDA: A Robust Attack Framework on Incomplete Graphs
RIDA: A Robust Attack Framework on Incomplete Graphs
Jianke Yu
Hanchen Wang
Chen Chen
Xiaoyang Wang
Wenjie Zhang
Ying Zhang
Ying Zhang
Xijuan Liu
GNN
OOD
AAML
41
1
0
25 Jul 2024
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering
Bingheng Li
Erlin Pan
Zhao Kang
24
31
0
22 Dec 2023
Mixture of Weak & Strong Experts on Graphs
Mixture of Weak & Strong Experts on Graphs
Hanqing Zeng
Hanjia Lyu
Diyi Hu
Yinglong Xia
Jiebo Luo
28
3
0
09 Nov 2023
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly
  Detection
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
Junjun Pan
Yixin Liu
Yizhen Zheng
Shirui Pan
37
18
0
18 Oct 2023
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
He Zhang
Xingliang Yuan
Shirui Pan
33
11
0
30 Jan 2023
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
94
562
0
04 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
837
0
28 Sep 2019
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