GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction

4 October 2024

Papers citing "GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction"

23 / 23 papers shown

Title
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling Xiaohui Chen Jiaxing He Xuhong Han Liping Liu DiffM 59 53 0 06 May 2023
AEGNN: Asynchronous Event-based Graph Neural Networks S. Schaefer Daniel Gehrig Davide Scaramuzza GNN 56 148 0 31 Mar 2022
Directed Graph Auto-Encoders Georgios Kollias Vasileios Kalantzis Tsuyoshi Idé A. Lozano Naoki Abe BDL GNN 63 36 0 25 Feb 2022
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 61 198 0 28 Oct 2021
Graph Learning based Recommender Systems: A Review Shoujin Wang Liang Hu Yan Wang Xiangnan He Quan.Z Sheng M. Orgun LongBing Cao F. Ricci Philip S. Yu 81 201 0 13 May 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 105 1,020 0 19 Feb 2021
MoFlow: An Invertible Flow Model for Generating Molecular Graphs Chengxi Zang Fei Wang BDL 122 293 0 17 Jun 2020
Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao Yujia Li Yang Song Shenlong Wang C. Nash William L. Hamilton David Duvenaud R. Urtasun R. Zemel GNN 131 334 0 02 Oct 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 143 862 0 31 Jul 2019
Graph Normalizing Flows Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 70 164 0 30 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 125 1,086 0 11 May 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 754 8,526 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,515 0 20 Dec 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 238 7,642 0 01 Oct 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 114 849 0 09 Feb 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 476 20,138 0 30 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 304 12,063 0 19 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 501 15,232 0 07 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 121 1,857 0 20 May 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 151 3,585 0 21 Nov 2016
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 161 2,929 0 07 Oct 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 410 10,482 0 21 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 342 7,650 0 30 Jun 2016