Handling Missing Data with Graph Representation Learning

30 October 2020

Mykel Kochenderfer

Papers citing "Handling Missing Data with Graph Representation Learning"

26 / 26 papers shown

Title
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Boyuan Li Yicheng Luo Zhen Liu Junhao Zheng Jianming Lv Qianli Ma AI4TS 27 0 0 23 May 2025
Weighted Graph Structure Learning with Attention Denoising for Node Classification Tingting Wang Jiaxin Su Haobing Liu Ruobing Jiang 134 0 0 15 Mar 2025
Design Space for Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec GNN AI4CE 104 317 0 17 Nov 2020
Graph Structure of Neural Networks Jiaxuan You J. Leskovec Kaiming He Saining Xie GNN 53 139 0 13 Jul 2020
G2SAT: Learning to Generate SAT Formulas Jiaxuan You Haoze Wu Clark W. Barrett R. Ramanujan J. Leskovec NAI 34 35 0 29 Oct 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 69 1,323 0 25 Jul 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 79 492 0 11 Jun 2019
Missing Data Imputation with Adversarially-trained Graph Convolutional Networks Indro Spinelli Simone Scardapane A. Uncini MedIm AI4CE 40 146 0 06 May 2019
Inductive Matrix Completion Based on Graph Neural Networks Muhan Zhang Yixin Chen 55 231 0 26 Apr 2019
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems Jiaxuan You Yichen Wang Aditya Pal Pong Eksombatchai C. Rosenberg J. Leskovec 40 125 0 08 Apr 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 71 259 0 06 Mar 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 862 93,936 0 11 Oct 2018
GAIN: Missing Data Imputation using Generative Adversarial Nets Jinsung Yoon James Jordon M. Schaar GAN 37 1,001 0 07 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 181 3,513 0 06 Jun 2018
Processing of missing data by neural networks Marek Śmieja Lukasz Struski Jacek Tabor Bartosz Zieliñski Przemysław Spurek AI4TS 38 109 0 18 May 2018
Deep Models of Interactions Across Sets Jason S. Hartford Devon R. Graham Kevin Leyton-Brown Siamak Ravanbakhsh 86 157 0 07 Mar 2018
Graph Convolutional Matrix Completion Rianne van den Berg Thomas Kipf Max Welling GNN 83 1,247 0 07 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 366 15,066 0 07 Jun 2017
MIDA: Multiple Imputation using Denoising Autoencoders Lovedeep Gondara Ke Wang AI4CE 49 85 0 08 May 2017
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks Federico Monti M. Bronstein Xavier Bresson GNN 93 519 0 22 Apr 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.2K 192,638 0 10 Dec 2015
Classification with Low Rank and Missing Data Elad Hazan Roi Livni Yishay Mansour 26 38 0 14 Jan 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 673 149,474 0 22 Dec 2014
Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares Trevor Hastie Rahul Mazumder Jason D. Lee R. Zadeh 67 522 0 09 Oct 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 775 99,991 0 04 Sep 2014
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 203 4,276 0 04 May 2011