ETA Prediction with Graph Neural Networks in Google Maps-Reference-Cited by-同舟云学术

ETA Prediction with Graph Neural Networks in Google Maps

Published:2021-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Information & Knowledge Management
language:
Short-container-title:

Author:

Derrow-Pinion Austin¹,She Jennifer¹,Wong David²,Lange Oliver³,Hester Todd⁴,Perez Luis⁵,Nunkesser Marc³,Lee Seongjae³,Guo Xueying³,Wiltshire Brett¹,Battaglia Peter W.⁶,Gupta Vishal¹,Li Ang¹,Xu Zhongwen⁷,Sanchez-Gonzalez Alvaro⁶,Li Yujia⁶,Velickovic Petar⁶

Affiliation:

1. DeepMind, Mountain View, CA, USA

2. Waymo, Mountain View, CA, USA

3. Google, Seattle, WA, USA

4. Amazon, Seattle, WA, USA

5. Facebook AI, Menlo Park, CA, USA

6. DeepMind, London, United Kingdom

7. Sea AI Lab, Singapore, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3459637.3481916

Reference39 articles.

1. Peter W Battaglia Jessica B Hamrick Victor Bapst Alvaro Sanchez-Gonzalez Vinicius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner etal 2018. Relational inductive biases deep learning and graph networks. arXiv preprint arXiv:1806.01261 (2018). Peter W Battaglia Jessica B Hamrick Victor Bapst Alvaro Sanchez-Gonzalez Vinicius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner et al. 2018. Relational inductive biases deep learning and graph networks. arXiv preprint arXiv:1806.01261 (2018).

2. Geometric Deep Learning: Going beyond Euclidean data

Cited by 99 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning for Dynamic Graphs: Models and Benchmarks;IEEE Transactions on Neural Networks and Learning Systems;2024-09

2. Scaling traffic variables from sensors sample to the entire city at high spatiotemporal resolution with machine learning: applications to the Paris megacity;Environmental Research: Infrastructure and Sustainability;2024-08-28

3. Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

4. Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

5. Hierarchical Graph Neural Networks with Scale-Aware Readout for Image Classification;International Journal of Semantic Computing;2024-08-17