RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional
Network

RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network

28 February 2022

Papers citing "RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network"

19 / 19 papers shown

Title
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 81 0 0 12 Oct 2024
ETA Prediction with Graph Neural Networks in Google Maps Austin Derrow-Pinion Jennifer She David Wong O. Lange Todd Hester ... Ang Li Zhongwen Xu Alvaro Sanchez-Gonzalez Yujia Li Petar Velivcković AI4TS 52 228 0 25 Aug 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 118 159 0 25 Feb 2021
HDMI: High-order Deep Multiplex Infomax Baoyu Jing Chanyoung Park Hanghang Tong 119 165 0 15 Feb 2021
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information Enyan Dai Suhang Wang FaML 64 244 0 03 Sep 2020
DeBayes: a Bayesian Method for Debiasing Network Embeddings Maarten Buyl T. D. Bie FaML CML 44 77 0 26 Feb 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 286 1,105 0 13 Feb 2020
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Jun Wu Jingrui He Jiejun Xu GNN 117 196 0 05 Jun 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 60 258 0 25 May 2019
Neural Graph Collaborative Filtering Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua 124 2,946 0 20 May 2019
Guarantees for Spectral Clustering with Fairness Constraints Matthäus Kleindessner Samira Samadi Pranjal Awasthi Jamie Morgenstern 52 155 0 24 Jan 2019
Fairness Without Demographics in Repeated Loss Minimization Tatsunori B. Hashimoto Megha Srivastava Hongseok Namkoong Percy Liang FaML 82 581 0 20 Jun 2018
Conditional Network Embeddings Bo Kang Jefrey Lijffijt T. D. Bie 36 44 0 19 May 2018
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 William L. Hamilton Z. Ying J. Leskovec 427 15,066 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 536 28,901 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 168 10,825 0 03 Jul 2016
Diffusion-Convolutional Neural Networks James Atwood Don Towsley GNN DiffM 165 1,248 0 06 Nov 2015
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 168 4,856 0 21 Dec 2013