Graph element networks: Adaptive, structured computation and memory
© 36th International Conference on Machine Learning, ICML 2019. All rights reserved. We explore the use of graph neural networks (GNNs) to model spatial processes in which there is no a priori graphical structure. Similar to finite element analysis, we assign nodes of a GNN to spatial locations and...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2021
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| Online Access: | https://hdl.handle.net/1721.1/132312 |