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Independence Promoted Graph Disentangled Networks

Independence Promoted Graph Disentangled Networks

26 November 2019
Yanbei Liu
Xiao Wang
Shu Wu
Zhitao Xiao
ArXivPDFHTML

Papers citing "Independence Promoted Graph Disentangled Networks"

6 / 6 papers shown
Title
Learning to Decouple Complex Systems
Learning to Decouple Complex Systems
Zihan Zhou
Tianshu Yu
BDL
64
4
0
17 Feb 2025
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng R. Li
Jundong Li
Kaize Ding
OOD
45
2
0
25 Oct 2024
Exploring Edge Disentanglement for Node Classification
Exploring Edge Disentanglement for Node Classification
Tianxiang Zhao
Xiang Zhang
Suhang Wang
16
35
0
23 Feb 2022
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by
  Self-supervised Context Prediction
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction
Lirong Wu
Haitao Lin
Zhangyang Gao
Cheng Tan
Stan. Z. Li
SSL
4
46
0
21 Jun 2021
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement
Xiaojie Guo
Liang Zhao
Zhao Qin
Lingfei Wu
Amarda Shehu
Yanfang Ye
CoGe
DRL
30
46
0
09 Jun 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,811
0
25 Nov 2016
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