DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life
Science

DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science

27 June 2021

George Karypis

Papers citing "DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science"

6 / 6 papers shown

Title
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration Sizhe Liu Y. Lu Siyu Chen Xiyang Hu Jieyu Zhao Tianfan Fu Yue Zhao LLMAG 69 6 0 24 Nov 2024
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning Jiaqing Xie Yue Zhao 25 0 0 02 Oct 2024
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations Yili Chen Zhengyu Li Zheng Wan Hui Yu Xian Wei 6 0 0 25 Jul 2023
Retrosynthesis Prediction with Local Template Retrieval Shufang Xie Rui Yan Junliang Guo Yingce Xia Lijun Wu Tao Qin 12 12 0 07 Jun 2023
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 208 1,205 0 12 Feb 2018
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 152 1,748 0 02 Mar 2017