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Linking Bank Clients using Graph Neural Networks Powered by Rich
  Transactional Data

Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data

23 January 2020
Valentina Shumovskaia
Kirill Fedyanin
I. Sukharev
Dmitry Berestnev
Maxim Panov
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Papers citing "Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data"

4 / 4 papers shown
Title
Interpreting Unfairness in Graph Neural Networks via Training Node
  Attribution
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
Yushun Dong
Song Wang
Jing Ma
Ninghao Liu
Jundong Li
44
21
0
25 Nov 2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive
  Attribute Leakage
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage
Yu-Chiang Frank Wang
Yuying Zhao
Yushun Dong
Huiyuan Chen
Jundong Li
Tyler Derr
30
81
0
07 Jun 2022
On the combination of graph data for assessing thin-file borrowers'
  creditworthiness
On the combination of graph data for assessing thin-file borrowers' creditworthiness
Ricardo Muñoz-Cancino
Cristián Bravo
Sebastián A. Ríos
M. Graña
26
14
0
26 Nov 2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
Yushun Dong
Ninghao Liu
B. Jalaeian
Jundong Li
31
118
0
11 Aug 2021
1