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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
Mufei Li
Jinjing Zhou
Jiajing Hu
Wenxuan Fan
Yangkang Zhang
Yaxin Gu
George Karypis
    GNN
    AI4CE
ArXivPDFHTML

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

11 / 11 papers shown
Title
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration
Sizhe Liu
Yaojie Lu
Siyu Chen
Xiyang Hu
Jieyu Zhao
Tianfan Fu
Yue Zhao
LLMAG
81
6
0
24 Nov 2024
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
Jiaqing Xie
Yue Zhao
38
0
0
02 Oct 2024
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning
  Molecular Representations
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations
Yili Chen
Zhengyu Li
Zheng Wan
Hui Yu
Xian Wei
23
0
0
25 Jul 2023
Retrosynthesis Prediction with Local Template Retrieval
Retrosynthesis Prediction with Local Template Retrieval
Shufang Xie
Rui Yan
Junliang Guo
Yingce Xia
Lijun Wu
Tao Qin
24
12
0
07 Jun 2023
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for
  Graph Continual Learning
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
Jihoon Ko
Shinhwan Kang
Taehyung Kwon
Heechan Moon
Kijung Shin
CLL
39
7
0
26 Nov 2022
Spectral Adversarial Training for Robust Graph Neural Network
Spectral Adversarial Training for Robust Graph Neural Network
Jintang Li
Jiaying Peng
Liang Chen
Zibin Zheng
Tingting Liang
Qing Ling
AAML
OOD
28
17
0
20 Nov 2022
Deep learning methods for drug response prediction in cancer:
  predominant and emerging trends
Deep learning methods for drug response prediction in cancer: predominant and emerging trends
A. Partin
Thomas Brettin
Yitan Zhu
Oleksandr Narykov
Austin R. Clyde
Jamie Overbeek
Department of Materials Science
11
54
0
18 Nov 2022
Injecting Domain Knowledge from Empirical Interatomic Potentials to
  Neural Networks for Predicting Material Properties
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties
Zeren Shui
Daniel S. Karls
Mingjian Wen
Ilia Nikiforov
E. Tadmor
George Karypis
46
7
0
14 Oct 2022
ChemicalX: A Deep Learning Library for Drug Pair Scoring
ChemicalX: A Deep Learning Library for Drug Pair Scoring
Benedek Rozemberczki
Charles Tapley Hoyt
A. Gogleva
Piotr Grabowski
Klas Karis
...
Sebastian Nilsson
M. Ughetto
Yu-Chiang Frank Wang
Tyler Derr
Benjamin M. Gyori
15
25
0
10 Feb 2022
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,340
0
12 Feb 2018
MoleculeNet: A Benchmark for Molecular Machine Learning
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
202
1,778
0
02 Mar 2017
1