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DGNN: Decoupled Graph Neural Networks with Structural Consistency
  between Attribute and Graph Embedding Representations

DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations

28 January 2024
Jinlu Wang
Jipeng Guo
Yanfeng Sun
Junbin Gao
Shaofan Wang
Yachao Yang
Baocai Yin
    AI4CE
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Papers citing "DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations"

5 / 5 papers shown
Title
A Metric for the Balance of Information in Graph Learning
A Metric for the Balance of Information in Graph Learning
Alex O. Davies
Nirav Ajmeri
Telmo de Menezes e Silva Filho
46
0
0
31 Jan 2025
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
84
445
0
04 Jan 2021
Line Graph Neural Networks for Link Prediction
Line Graph Neural Networks for Link Prediction
Lei Cai
Jundong Li
Jie Wang
Shuiwang Ji
GNN
127
194
0
20 Oct 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
167
1,058
0
13 Feb 2020
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
220
1,726
0
09 Jun 2018
1