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DIG: A Turnkey Library for Diving into Graph Deep Learning Research


Mar 23, 2021
Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Zhao Xu, Haiyang Yu, Jingtun Zhang, Yi Liu, Keqiang Yan, Bora Oztekin, Haoran Liu, Xuan Zhang, Cong Fu, Shuiwang Ji


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Self-Supervised Learning of Graph Neural Networks: A Unified Review


Feb 23, 2021
Yaochen Xie, Zhao Xu, Zhengyang Wang, Shuiwang Ji

* 17 pages, 6 figures 

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MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery


Dec 02, 2020
Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Shuiwang Ji

* Supplementary Material: https://documentcloud.adobe.com/link/track?uri=urn:aaid:scds:US:d0ca85d1-c6f9-428b-ae2b-c3bf3257196d 

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Augmented Equivariant Attention Networks for Electron Microscopy Image Super-Resolution


Nov 06, 2020
Yaochen Xie, Yu Ding, Shuiwang Ji


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Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising


Oct 22, 2020
Yaochen Xie, Zhengyang Wang, Shuiwang Ji

* 15 pages, NeurIPS 2020 

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Global Voxel Transformer Networks for Augmented Microscopy


Aug 05, 2020
Zhengyang Wang, Yaochen Xie, Shuiwang Ji

* Supplementary Material: https://documentcloud.adobe.com/link/track?uri=urn:aaid:scds:US:967e80e2-d90e-49ad-b4f9-f6ca12379e1f 

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