Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network

15 February 2023

Papers citing "Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network"

28 / 28 papers shown

Title
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation Cuiying Huo Di Jin Yawen Li Dongxiao He Yubin Yang Lingfei Wu 23 40 0 24 Dec 2022
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder Jaemin Yoo Hyunsik Jeon Jinhong Jung U. Kang BDL 38 19 0 09 Jun 2022
Deep Graph Learning for Anomalous Citation Detection Jiaying Liu Feng Xia Xu Feng Jing Ren Huan Liu 33 42 0 23 Feb 2022
From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer Xin Xie Ningyu Zhang Zhoubo Li Shumin Deng Hui Chen Feiyu Xiong Mosha Chen Huajun Chen 31 94 0 04 Feb 2022
Deep Graph Clustering via Dual Correlation Reduction Yue Liu Wenxuan Tu Sihang Zhou Xinwang Liu Linxuan Song Xihong Yang En Zhu 35 205 0 29 Dec 2021
Inductive Matrix Completion Using Graph Autoencoder Wei Shen Wei Shen Yunkun Tian Liang Zeng Xiaonan He Wanchun Dou Xiaolong Xu 62 24 0 25 Aug 2021
Deep Fusion Clustering Network Wenxuan Tu Sihang Zhou Xinwang Liu Xifeng Guo Zhiping Cai En Zhu Jieren Cheng 37 175 0 15 Dec 2020
Learning on Attribute-Missing Graphs Xu Chen Siheng Chen Jiangchao Yao Huangjie Zheng Ya Zhang Ivor W Tsang 74 88 0 03 Nov 2020
Handling Missing Data with Graph Representation Learning Jiaxuan You Xiaobai Ma D. Ding Mykel Kochenderfer J. Leskovec 37 174 0 30 Oct 2020
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 50 1,088 0 27 Oct 2020
Graph Convolutional Networks for Graphs Containing Missing Features Hibiki Taguchi Xin Liu T. Murata GNN 45 85 0 09 Jul 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 123 1,284 0 10 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 117 10,591 0 17 Feb 2020
Structural Deep Clustering Network Deyu Bo Xiao Wang C. Shi Meiqi Zhu Emiao Lu Peng Cui GNN 35 488 0 05 Feb 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 85 572 0 04 Feb 2020
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling F. Bianchi Daniele Grattarola L. Livi Cesare Alippi 74 48 0 24 Oct 2019
Missing Data Imputation with Adversarially-trained Graph Convolutional Networks Indro Spinelli Simone Scardapane A. Uncini MedIm AI4CE 37 146 0 06 May 2019
Inductive Matrix Completion Based on Graph Neural Networks Muhan Zhang Yixin Chen 43 231 0 26 Apr 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 77 219 0 20 Feb 2019
Learning Graph Embedding with Adversarial Training Methods Shirui Pan Ruiqi Hu S. Fung Guodong Long Jing Jiang Chengqi Zhang GNN GAN 34 282 0 04 Jan 2019
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 89 2,359 0 27 Sep 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 248 19,902 0 30 Oct 2017
Graph Convolutional Matrix Completion Rianne van den Berg Thomas Kipf Max Welling GNN 69 1,247 0 07 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 304 15,066 0 07 Jun 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 79 3,541 0 21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 359 28,795 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 119 10,800 0 03 Jul 2016
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 187 9,735 0 26 Mar 2014