Learning to Optimise Wind Farms with Graph Transformers

Learning to Optimise Wind Farms with Graph Transformers

21 November 2023

Papers citing "Learning to Optimise Wind Farms with Graph Transformers"

10 / 10 papers shown

Title
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning Siyi Li Mingrui Zhang M. Piggott 51 28 0 24 Nov 2022
Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek Mikhail Galkin Vijay Prakash Dwivedi Anh Tuan Luu Guy Wolf Dominique Beaini 116 564 0 25 May 2022
Swin Transformer V2: Scaling Up Capacity and Resolution Ze Liu Han Hu Yutong Lin Zhuliang Yao Zhenda Xie ... Yue Cao Zheng Zhang Li Dong Furu Wei B. Guo ViT 209 1,809 0 18 Nov 2021
NormFormer: Improved Transformer Pretraining with Extra Normalization Sam Shleifer Jason Weston Myle Ott AI4CE 48 76 0 18 Oct 2021
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff Meire Fortunato Alvaro Sanchez-Gonzalez Peter W. Battaglia AI4CE 82 786 0 07 Oct 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 81 686 0 09 Jun 2020
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 80 1,107 0 07 Sep 2019
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 753 3,119 0 04 Jun 2018
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 617 29,051 0 09 Sep 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 330 8,116 0 13 Aug 2016