Simple and Effective Graph Autoencoders with One-Hop Linear Models

21 January 2020

Papers citing "Simple and Effective Graph Autoencoders with One-Hop Linear Models"

5 / 5 papers shown

Title
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Jia Wu Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 40 12 0 13 Feb 2023
Relating graph auto-encoders to linear models Solveig Klepper U. V. Luxburg 25 1 0 03 Nov 2022
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning Fangzhi Xu Jun Liu Qika Lin Yudai Pan Lingling Zhang 26 24 0 02 May 2022
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding Guillaume Salha-Galvan Romain Hennequin Jean-Baptiste Remy Manuel Moussallam Michalis Vazirgiannis GNN BDL 26 6 0 05 Feb 2020
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 224 1,340 0 12 Feb 2018