A Comparative Study for Unsupervised Network Representation Learning

19 March 2019

Papers citing "A Comparative Study for Unsupervised Network Representation Learning"

7 / 7 papers shown

Title
Node Embeddings via Neighbor Embeddings Jan Niklas Böhm Marius Keute Alica Guzmán Sebastian Damrich Andrew Draganov D. Kobak GNN 57 0 0 31 Mar 2025
Learning Graph Node Embeddings by Smooth Pair Sampling Konstantin Kutzkov 41 0 0 22 Jan 2025
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs Vipul Gupta Xin Chen Ruoyun Huang Fanlong Meng Jianjun Chen Yujun Yan GNN 33 0 0 22 Jul 2024
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations Mandeep Rathee Thorben Funke Avishek Anand Megha Khosla 44 14 0 28 Jun 2022
GraphWorld: Fake Graphs Bring Real Insights for GNNs John Palowitch Anton Tsitsulin Brandon Mayer Bryan Perozzi GNN 195 68 0 28 Feb 2022
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks Thorben Funke Megha Khosla Mandeep Rathee Avishek Anand FAtt 23 38 0 18 May 2021
Self-supervised edge features for improved Graph Neural Network training Arijit Sehanobish N. Ravindra David van Dijk SSL 18 6 0 23 Jun 2020