User-Centric Synthetic Road Network Generation Using Graph Neural Networks and Graph Autoencoders-Reference-Cited by-同舟云学术

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User-Centric Synthetic Road Network Generation Using Graph Neural Networks and Graph Autoencoders

Published:2023-12-15 Issue: Volume:29 Page:1169-1174
ISSN:
Container-title:2023 International Conference on Machine Learning and Applications (ICMLA)
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Author:

Shoer Ibrahim¹,Sohsah Gihad N.¹,Oztaylan Merih¹,Termanini Zeina¹

Affiliation:

1. Capoom,Istanbul,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10459339/10459727/10459826.pdf?arnumber=10459826

Reference22 articles.

1. The Graph Neural Network Model

2. Variational graph auto-encoders;Thomas N.;arXiv preprint,2016

3. Unsupervised inductive graph-level representation learning via graph-graph proximity;Yunsheng;arXiv preprint,2019

4. A Survey on Procedural Modelling for Virtual Worlds

5. Müller, Pascal. Procedural modeling of cities;Yoav I. H.

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