Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks

2 October 2019

Papers citing "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks"

4 / 4 papers shown

Title
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network Julian Carvajal Rico A. Alaeddini Syed Hasib Akhter Faruqui S. Fisher-Hoch J. McCormick 63 0 0 13 Mar 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 37 2 0 28 Oct 2024
Node Embeddings and Exact Low-Rank Representations of Complex Networks Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis BDL 6 33 0 10 Jun 2020
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 211 1,329 0 12 Feb 2018