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Fairness in Graph Mining: A Survey

Fairness in Graph Mining: A Survey

21 April 2022
Yushun Dong
Jing Ma
Song Wang
Chen Chen
Jundong Li
    FaML
ArXivPDFHTML

Papers citing "Fairness in Graph Mining: A Survey"

23 / 73 papers shown
Title
Operationalizing Individual Fairness with Pairwise Fair Representations
Operationalizing Individual Fairness with Pairwise Fair Representations
Preethi Lahoti
Krishna P. Gummadi
Gerhard Weikum
FaML
67
101
0
02 Jul 2019
Compositional Fairness Constraints for Graph Embeddings
Compositional Fairness Constraints for Graph Embeddings
A. Bose
William L. Hamilton
FaML
60
258
0
25 May 2019
Stable and Fair Classification
Stable and Fair Classification
Lingxiao Huang
Nisheeth K. Vishnoi
FaML
86
71
0
21 Feb 2019
Improved Adversarial Learning for Fair Classification
Improved Adversarial Learning for Fair Classification
L. E. Celis
Vijay Keswani
FaML
56
44
0
29 Jan 2019
Guarantees for Spectral Clustering with Fairness Constraints
Guarantees for Spectral Clustering with Fairness Constraints
Matthäus Kleindessner
Samira Samadi
Pranjal Awasthi
Jamie Morgenstern
52
155
0
24 Jan 2019
Identifying and Correcting Label Bias in Machine Learning
Identifying and Correcting Label Bias in Machine Learning
Heinrich Jiang
Ofir Nachum
FaML
77
281
0
15 Jan 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
193
7,554
0
01 Oct 2018
A Fairness-aware Hybrid Recommender System
A Fairness-aware Hybrid Recommender System
G. Farnadi
Pigi Kouki
Spencer K. Thompson
S. Srinivasan
Lise Getoor
FaML
53
60
0
13 Sep 2018
Fairness Through Computationally-Bounded Awareness
Fairness Through Computationally-Bounded Awareness
Michael P. Kim
Omer Reingold
G. Rothblum
FaML
85
144
0
08 Mar 2018
Fair Clustering Through Fairlets
Fair Clustering Through Fairlets
Flavio Chierichetti
Ravi Kumar
Silvio Lattanzi
Sergei Vassilvitskii
FaML
53
430
0
15 Feb 2018
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes
Nikhil Garg
L. Schiebinger
Dan Jurafsky
James Zou
AI4TS
50
952
0
22 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
384
19,991
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
427
15,066
0
07 Jun 2017
Beyond Parity: Fairness Objectives for Collaborative Filtering
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao
Bert Huang
FaML
35
365
0
24 May 2017
Counterfactual Fairness
Counterfactual Fairness
Matt J. Kusner
Joshua R. Loftus
Chris Russell
Ricardo M. A. Silva
FaML
191
1,566
0
20 Mar 2017
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
139
4,276
0
07 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
536
28,901
0
09 Sep 2016
Semantics derived automatically from language corpora contain human-like
  biases
Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan
J. Bryson
Arvind Narayanan
150
2,650
0
25 Aug 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word
  Embeddings
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi
Kai-Wei Chang
James Zou
Venkatesh Saligrama
Adam Kalai
CVBM
FaML
69
3,115
0
21 Jul 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
168
10,825
0
03 Jul 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with
  One-Class Collaborative Filtering
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering
Ruining He
Julian McAuley
115
2,048
0
04 Feb 2016
Censoring Representations with an Adversary
Censoring Representations with an Adversary
Harrison Edwards
Amos Storkey
AAML
FaML
54
504
0
18 Nov 2015
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
239
9,735
0
26 Mar 2014
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