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- research-article
Improving equivariant graph neural networks on large geometric graphs via virtual nodes learning
July 2024ICML'24: Proceedings of the 41st International Conference on Machine Learning - research-article
Equivariant graph neural operator for modeling 3D dynamics
- Minkai Xu,
- Jiaqi Han,
- Aaron Lou,
- Jean Kossaifi,
- Arvind Ramanathan,
- Kamyar Azizzadenesheli,
- Jure Leskovec,
- Stefano Ermon,
- Anima Anandkumar
July 2024ICML'24: Proceedings of the 41st International Conference on Machine Learning - research-article
Crystal structure prediction by joint equivariant diffusion
December 2023NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing Systems - research-article
Subequivariant graph reinforcement learning in 3D environments
July 2023ICML'23: Proceedings of the 40th International Conference on Machine Learning - research-article
Energy-motivated equivariant pretraining for 3D molecular graphs
February 2023AAAI'23/IAAI'23/EAAI'23: Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence and Thirteenth Symposium on Educational Advances in Artificial Intelligencehttps://doi.org/10.1609/aaai.v37i7.25978 - research-article
Equivariant graph hierarchy-based neural networks
November 2022NIPS '22: Proceedings of the 36th International Conference on Neural Information Processing Systems