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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"

13 / 13 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
185
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
6
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
Refining Latent Homophilic Structures over Heterophilic Graphs for
  Robust Graph Convolution Networks
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
Chenyang Qiu
Gu Nan
Tianyu Xiong
Wendi Deng
Di Wang
Zhiyang Teng
Lijuan Sun
Qimei Cui
Xiaofeng Tao
17
5
0
27 Dec 2023
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
32
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
31
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
40
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
36
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
97
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
1,080
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
1