Adversarial Graph Embeddings for Fair Influence Maximization over Social
Networks

v1v2 (latest)

Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks

8 May 2020

Ahmad Asgharian Rezaei

Mahmoudreza Babaei

Jessica Hoffmann

ArXiv (abs)PDF HTML

Papers citing "Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks"

8 / 8 papers shown

Title
Fairness-Aware Graph Neural Networks: A Survey April Chen Ryan Rossi Namyong Park Puja Trivedi Yu Wang Tong Yu Sungchul Kim Franck Dernoncourt Nesreen K. Ahmed 97 9 0 08 Jul 2023
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on Graphs A. Arvindh Aakash Aanegola Amul Agrawal Ramasuri Narayanam Ponnurangam Kumaraguru 61 1 0 10 Apr 2023
Graph Learning with Localized Neighborhood Fairness April Chen Ryan Rossi Nedim Lipka Jane Hoffswell G. Chan Shunan Guo Eunyee Koh Sungchul Kim Nesreen K. Ahmed FaML 61 6 0 22 Dec 2022
A Survey on Fairness for Machine Learning on Graphs Charlotte Laclau C. Largeron Manvi Choudhary FaML 80 24 0 11 May 2022
Fairness in Graph Mining: A Survey Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 214 115 0 21 Apr 2022
Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network Mohammadreza Radmanesh Hossein Ghorbanzadeh Ahmad Asgharian Rezaei Mahdi Jalili Xinghuo Yu 16 4 0 13 Feb 2022
Fairness for Image Generation with Uncertain Sensitive Attributes A. Jalal Sushrut Karmalkar Jessica Hoffmann A. Dimakis Eric Price DiffM 69 42 0 23 Jun 2021
CrossWalk: Fairness-enhanced Node Representation Learning Ahmad Khajehnejad M. Khajehnejad Mahmoudreza Babaei Krishna P. Gummadi Adrian Weller Baharan Mirzasoleiman 49 46 0 06 May 2021