Incomplete Graph Representation and Learning via Partial Graph Neural
Networks

v1v2 (latest)

Incomplete Graph Representation and Learning via Partial Graph Neural Networks

23 March 2020

ArXiv (abs)PDF HTML

Papers citing "Incomplete Graph Representation and Learning via Partial Graph Neural Networks"

6 / 6 papers shown

Title
Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen Kaize Ding Shixiang Zhu 102 5 0 14 Jun 2023
Self-supervised Guided Hypergraph Feature Propagation for Semi-supervised Classification with Missing Node Features Chengxiang Lei Sichao Fu Yuetian Wang Wen-Qiang Qiu Yachen Hu Qinmu Peng Xinge You 58 3 0 16 Feb 2023
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder Zi-Chao Gao Yifan Niu Jiashun Cheng Jianheng Tang Tingyang Xu P. Zhao Lanqing Li Fugee Tsung Jia Li 124 13 0 30 Nov 2022
EGG-GAE: scalable graph neural networks for tabular data imputation Lev Telyatnikov Simone Scardapane GNN 50 14 0 19 Oct 2022
Remote Work Optimization with Robust Multi-channel Graph Neural Networks Qinyi Zhu Liang Wu Qi Guo Liangjie Hong 42 0 0 26 Aug 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 91 98 0 23 Nov 2021