Recovering Missing Node Features with Local Structure-based Embeddings

Recovering Missing Node Features with Local Structure-based Embeddings

16 September 2023

Victor M. Tenorio

Madeline Navarro

Santiago Segarra

Antonio G. Marques

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Papers citing "Recovering Missing Node Features with Local Structure-based Embeddings"

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Title
GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering Madeline Navarro Santiago Segarra 71 9 0 27 Oct 2022
Joint Network Topology Inference via a Shared Graphon Model Madeline Navarro Santiago Segarra 71 12 0 17 Sep 2022
G-Mixup: Graph Data Augmentation for Graph Classification Xiaotian Han Zhimeng Jiang Ninghao Liu Xia Hu 77 202 0 15 Feb 2022
Learning on Attribute-Missing Graphs Xu Chen Siheng Chen Jiangchao Yao Huangjie Zheng Ya Zhang Ivor W Tsang 91 94 0 03 Nov 2020
Handling Missing Data with Graph Representation Learning Jiaxuan You Xiaobai Ma D. Ding Mykel Kochenderfer J. Leskovec 63 178 0 30 Oct 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 236 821 0 16 Jul 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 306 2,732 0 02 May 2020
Random Features Strengthen Graph Neural Networks Ryoma Sato M. Yamada H. Kashima GNN AAML 76 239 0 08 Feb 2020
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 93 496 0 11 Jun 2019
Missing Data Imputation with Adversarially-trained Graph Convolutional Networks Indro Spinelli Simone Scardapane A. Uncini MedIm AI4CE 76 150 0 06 May 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 243 7,681 0 01 Oct 2018
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 593 7,485 0 04 Apr 2017
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks S. Ktena Sarah Parisot Enzo Ferrante Martin Rajchl M. J. Lee Ben Glocker Daniel Rueckert GNN 158 194 0 07 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 644 29,076 0 09 Sep 2016
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 223 3,353 0 30 Sep 2015
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 257 9,800 0 26 Mar 2014