Learning on Attribute-Missing Graphs

Learning on Attribute-Missing Graphs

3 November 2020

Jiangchao Yao

Huangjie Zheng

Ivor W Tsang

Papers citing "Learning on Attribute-Missing Graphs"

10 / 10 papers shown

Title
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
Reproducibility study of FairAC Gijs de Jong Macha J. Meijer Derck W. E. Prinzhorn Harold Ruiter 30 0 0 05 Jun 2024
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs Debolina Halder Lina Arlei Silva 26 0 0 02 Nov 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks Federico Errica Mathias Niepert TPM 25 4 0 17 May 2023
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder Jaemin Yoo Hyunsik Jeon Jinhong Jung U. Kang BDL 11 17 0 09 Jun 2022
Discovering Representative Attribute-stars via Minimum Description Length Jiahong Liu Min Zhou Philippe Fournier-Viger Menglin Yang Lujia Pan M. Nouioua 22 7 0 27 Apr 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 27 218 0 16 Feb 2022
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features Emanuele Rossi Henry Kenlay Maria I. Gorinova B. Chamberlain Xiaowen Dong M. Bronstein 28 87 0 23 Nov 2021
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs Hejie Cui Zijie Lu Pan Li Carl Yang 15 80 0 03 Jul 2021
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 224 1,340 0 12 Feb 2018