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Data Considerations in Graph Representation Learning for Supply Chain
  Networks

Data Considerations in Graph Representation Learning for Supply Chain Networks

22 July 2021
Ajmal Aziz
E. Kosasih
Ryan-Rhys Griffiths
Alexandra Brintrup
ArXivPDFHTML

Papers citing "Data Considerations in Graph Representation Learning for Supply Chain Networks"

5 / 5 papers shown
Title
Optimizing Supply Chain Networks with the Power of Graph Neural Networks
Optimizing Supply Chain Networks with the Power of Graph Neural Networks
Chi-Sheng Chen
Ying-Jung Chen
AI4TS
42
3
0
07 Jan 2025
Learning production functions for supply chains with graph neural networks
Learning production functions for supply chains with graph neural networks
Serina Chang
Zhiyin Lin
Benjamin Yan
Swapnil Bembde
Qi Xiu
...
Yu Qin
Frank Kloster
Alex Luo
Raj Palleti
J. Leskovec
GNN
AI4TS
46
1
0
26 Jul 2024
SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
Azmine Toushik Wasi
MD Shafikul Islam
Adipto Raihan Akib
44
3
0
27 Jan 2024
A Knowledge Graph Perspective on Supply Chain Resilience
A Knowledge Graph Perspective on Supply Chain Resilience
Yushan Liu
Bailan He
Marcel Hildebrandt
Maximilian Buchner
Daniela Inzko
Roger Wernert
Emanuel Weigel
Dagmar Beyer
Martin Berbalk
Volker Tresp
24
5
0
15 May 2023
Are we Forgetting about Compositional Optimisers in Bayesian
  Optimisation?
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?
Antoine Grosnit
Alexander I. Cowen-Rivers
Rasul Tutunov
Ryan-Rhys Griffiths
Jun Wang
Haitham Bou-Ammar
19
13
0
15 Dec 2020
1