Unsupervised Framework for Evaluating and Explaining Structural Node Embeddings of Graphs

19 June 2023

Papers citing "Unsupervised Framework for Evaluating and Explaining Structural Node Embeddings of Graphs"

9 / 9 papers shown

Title
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling Andrew Stolman Caleb C. Levy C. Seshadhri Aneesh Sharma GNN 32 12 0 20 Jan 2022
A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed Graphs Bogumil Kamiñski Ł. Kraiński P. Prałat F. Théberge 40 8 0 30 Nov 2021
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings Benedek Rozemberczki Rik Sarkar 144 71 0 08 Jan 2021
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 85 289 0 07 May 2020
An Unsupervised Framework for Comparing Graph Embeddings B. Kamiński P. Prałat F. Théberge 48 15 0 29 May 2019
Learning Role-based Graph Embeddings Nesreen Ahmed Ryan Rossi J. B. Lee Theodore L. Willke R. Zhou Xiangnan Kong Hoda Eldardiry 51 96 0 07 Feb 2018
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 183 10,856 0 03 Jul 2016
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 252 9,769 0 26 Mar 2014
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 625 31,469 0 16 Jan 2013