Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance
Matching

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Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching

International Conference on Learning Representations (ICLR), 2022

27 June 2022

Jian Tang

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Papers citing "Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching"

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Title
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing Shengchao Liu Weili Nie Chengpeng Wang Jiarui Lu Zhuoran Qiao Ling Liu Jian Tang Chaowei Xiao Anima Anandkumar 226 219 0 21 Dec 2022
Flaky Performances when Pretraining on Relational DatabasesAAAI Conference on Artificial Intelligence (AAAI), 2022 Shengchao Liu David Vazquez Jian Tang Pierre-Andre Noel 113 3 0 09 Nov 2022
Few-shot Image Generation with Diffusion Models Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 280 27 0 07 Nov 2022
Geometry-Complete Perceptron Networks for 3D Molecular Graphs Alex Morehead Jianlin Cheng GNN 3DV AI4CE 260 18 0 04 Nov 2022
A Systematic Survey of Chemical Pre-trained ModelsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Jun Xia Yanqiao Zhu Yuanqi Du Stan Z.Li AI4CE 310 61 0 29 Oct 2022
Graph Neural Networks for Molecules Yuyang Wang Zijie Li A. Farimani GNN AI4CE 323 48 0 12 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and ApplicationsACM Computing Surveys (ACM CSUR), 2022 Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 1.2K 1,839 0 02 Sep 2022
Evaluating Self-Supervised Learning for Molecular Graph EmbeddingsNeural Information Processing Systems (NeurIPS), 2022 Hanchen Wang Jean Kaddour Shengchao Liu Jian Tang Joan Lasenby Qi Liu 245 31 0 16 Jun 2022
Pre-training via Denoising for Molecular Property PredictionInternational Conference on Learning Representations (ICLR), 2022 Sheheryar Zaidi Michael Schaarschmidt James Martens Hyunjik Kim Yee Whye Teh Alvaro Sanchez-Gonzalez Peter W. Battaglia Razvan Pascanu Jonathan Godwin DiffM AI4CE 409 143 0 31 May 2022
Attentive Walk-Aggregating Graph Neural Networks M. F. Demirel Shengchao Liu Siddhant Garg Zhenmei Shi Yingyu Liang 226 11 0 06 Oct 2021
Motif-Driven Contrastive Learning of Graph RepresentationsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 Shichang Zhang Ziniu Hu Arjun Subramonian Luke Huan SSL 211 12 0 23 Dec 2020