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Missing Data Imputation with Adversarially-trained Graph Convolutional
  Networks

Missing Data Imputation with Adversarially-trained Graph Convolutional Networks

6 May 2019
Indro Spinelli
Simone Scardapane
A. Uncini
    MedIm
    AI4CE
ArXivPDFHTML

Papers citing "Missing Data Imputation with Adversarially-trained Graph Convolutional Networks"

11 / 11 papers shown
Title
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
42
2
0
28 Oct 2024
Multi-scale Temporal Fusion Transformer for Incomplete Vehicle
  Trajectory Prediction
Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction
Zhanwen Liu
Chao Li
Yang Wang
Nan Yang
Xing Fan
Jiaqi Ma
Xiangmo Zhao
27
2
0
02 Sep 2024
Explainability of Machine Learning Models under Missing Data
Explainability of Machine Learning Models under Missing Data
Tuan L. Vo
T. Nguyen
Hugo Lewi Hammer
Michael A. Riegler
P. Halvorsen
Pal Halvorsen
49
2
0
29 Jun 2024
Correlation visualization under missing values: a comparison between
  imputation and direct parameter estimation methods
Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods
Nhat H. Pham
Khanh-Linh Vo
Mai Anh Vu
Thu Nguyen
Michael A. Riegler
P. Halvorsen
Binh Duc Nguyen
6
6
0
10 May 2023
Simplicial Attention Neural Networks
Simplicial Attention Neural Networks
L. Giusti
Claudio Battiloro
P. Lorenzo
S. Sardellitti
Sergio Barbarossa
38
32
0
14 Mar 2022
Graph Neural Networks: a bibliometrics overview
Graph Neural Networks: a bibliometrics overview
Abdalsamad Keramatfar
Mohadeseh Rafiee
Hossein Amirkhani
GNN
AI4CE
28
24
0
03 Jan 2022
Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic
  Data Imputation with Complex Missing Patterns
Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns
Yuebing Liang
Zhan Zhao
Lijun Sun
GNN
AI4TS
27
61
0
17 Sep 2021
Convolutional Neural Network Architectures for Signals Supported on
  Graphs
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama
A. Marques
G. Leus
Alejandro Ribeiro
132
285
0
01 May 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
244
3,236
0
24 Nov 2016
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
207
1,895
0
06 Jun 2016
MissForest - nonparametric missing value imputation for mixed-type data
MissForest - nonparametric missing value imputation for mixed-type data
D. Stekhoven
Peter Buhlmann
157
4,214
0
04 May 2011
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