FairNorm: Fair and Fast Graph Neural Network Training

20 May 2022

Papers citing "FairNorm: Fair and Fast Graph Neural Network Training"

21 / 21 papers shown

Title
Subgroup Generalization and Fairness of Graph Neural Networks Jiaqi Ma Junwei Deng Qiaozhu Mei 75 82 0 29 Jun 2021
Fairness-Aware Node Representation Learning Öykü Deniz Köse Yanning Shen 58 22 0 09 Jun 2021
Do Transformers Really Perform Bad for Graph Representation? Chengxuan Ying Tianle Cai Shengjie Luo Shuxin Zheng Guolin Ke Di He Yanming Shen Tie-Yan Liu GNN 107 443 0 09 Jun 2021
Fair Representation Learning for Heterogeneous Information Networks Huiping Zhuang Rashidul Islam Kamrun Naher Keya James R. Foulds Yangqiu Song Shimei Pan 57 41 0 18 Apr 2021
The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer Maarten Buyl T. D. Bie 60 25 0 02 Mar 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 181 164 0 25 Feb 2021
All of the Fairness for Edge Prediction with Optimal Transport Charlotte Laclau I. Redko Manvi Choudhary C. Largeron FaML 48 43 0 30 Oct 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai Shengjie Luo Keyulu Xu Di He Tie-Yan Liu Liwei Wang GNN 88 167 0 07 Sep 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 546 953 0 02 Mar 2020
DeBayes: a Bayesian Method for Debiasing Network Embeddings Maarten Buyl T. D. Bie FaML CML 75 78 0 26 Feb 2020
On Layer Normalization in the Transformer Architecture Ruibin Xiong Yunchang Yang Di He Kai Zheng Shuxin Zheng Chen Xing Huishuai Zhang Yanyan Lan Liwei Wang Tie-Yan Liu AI4CE 153 998 0 12 Feb 2020
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 88 259 0 25 May 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 261 7,710 0 01 Oct 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 518 1,991 0 09 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 272 3,555 0 06 Jun 2018
How Does Batch Normalization Help Optimization? Shibani Santurkar Dimitris Tsipras Andrew Ilyas Aleksander Madry ODL 126 1,546 0 29 May 2018
Group Normalization Yuxin Wu Kaiming He 249 3,676 0 22 Mar 2018
Learning to Find Good Correspondences K. M. Yi Eduard Trulls Y. Ono Vincent Lepetit Mathieu Salzmann Pascal Fua 3DV 74 480 0 16 Nov 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 516 15,369 0 07 Jun 2017
Instance Normalization: The Missing Ingredient for Fast Stylization Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky OOD 180 3,714 0 27 Jul 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 435 10,541 0 21 Jul 2016