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Graph-Based Methods for Discrete Choice

Graph-Based Methods for Discrete Choice

23 May 2022
K. Tomlinson
Austin R. Benson
ArXivPDFHTML

Papers citing "Graph-Based Methods for Discrete Choice"

16 / 16 papers shown
Title
Choice Set Confounding in Discrete Choice
Choice Set Confounding in Discrete Choice
K. Tomlinson
J. Ugander
Austin R. Benson
CML
33
4
0
17 May 2021
A Unifying Generative Model for Graph Learning Algorithms: Label
  Propagation, Graph Convolutions, and Combinations
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations
Junteng Jia
Austin R. Benson
47
29
0
19 Jan 2021
Combining Label Propagation and Simple Models Out-performs Graph Neural
  Networks
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Qian Huang
Horace He
Abhay Singh
Ser-Nam Lim
Austin R. Benson
74
283
0
27 Oct 2020
Mixed Logit Models and Network Formation
Mixed Logit Models and Network Formation
Harsh Gupta
M. A. Porter
27
6
0
30 Jun 2020
Understanding and Resolving Performance Degradation in Graph
  Convolutional Networks
Understanding and Resolving Performance Degradation in Graph Convolutional Networks
Kuangqi Zhou
Yanfei Dong
Kaixin Wang
W. Lee
Bryan Hooi
Huan Xu
Jiashi Feng
GNN
BDL
103
91
0
12 Jun 2020
Preference Modeling with Context-Dependent Salient Features
Preference Modeling with Context-Dependent Salient Features
Amanda Bower
Laura Balzano
40
12
0
22 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
172
3,624
0
06 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
391
42,299
0
03 Dec 2019
Predicting Choice with Set-Dependent Aggregation
Predicting Choice with Set-Dependent Aggregation
Nir Rosenfeld
Kojin Oshiba
Yaron Singer
42
17
0
14 Jun 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
216
3,168
0
19 Feb 2019
Discovering Context Effects from Raw Choice Data
Discovering Context Effects from Raw Choice Data
Arjun Seshadri
A. Peysakhovich
J. Ugander
28
24
0
08 Feb 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
674
8,496
0
03 Jan 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
224
7,623
0
01 Oct 2018
SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and
  Complements
SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements
Francisco J. R. Ruiz
Susan Athey
David M. Blei
340
85
0
09 Nov 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
587
28,999
0
09 Sep 2016
Composite Social Network for Predicting Mobile Apps Installation
Composite Social Network for Predicting Mobile Apps Installation
Wei Pan
Nadav Aharony
Alex Pentland
57
125
0
02 Jun 2011
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