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Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug
  Discovery and Development

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

18 February 2021
Kexin Huang
Tianfan Fu
Wenhao Gao
Yue Zhao
Yusuf Roohani
J. Leskovec
Connor W. Coley
Cao Xiao
Jimeng Sun
Marinka Zitnik
    OOD
    LM&MA
ArXivPDFHTML

Papers citing "Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development"

17 / 17 papers shown
Title
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
Mohit Pandey
G. Subbaraj
Artem Cherkasov
Martin Ester
Emmanuel Bengio
AI4CE
57
1
0
08 Mar 2025
Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study
Eric Aubinais
Philippe Formont
Pablo Piantanida
Elisabeth Gassiat
31
0
0
10 Feb 2025
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
Y. Lu
Siyu Chen
Xiyang Hu
Jieyu Zhao
Tianfan Fu
Yue Zhao
LLMAG
69
6
0
24 Nov 2024
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
Diantong Li
Fengxue Zhang
Chong Liu
Yuxin Chen
40
0
0
06 Nov 2024
MAMMAL -- Molecular Aligned Multi-Modal Architecture and Language
MAMMAL -- Molecular Aligned Multi-Modal Architecture and Language
Yoel Shoshan
Moshiko Raboh
Michal Ozery-Flato
Vadim Ratner
Alex Golts
...
Sharon Kurant
Joseph A. Morrone
Parthasarathy Suryanarayanan
Michal Rosen-Zvi
Efrat Hexter
24
1
0
28 Oct 2024
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Haorui Wang
Marta Skreta
C. Ser
Wenhao Gao
Lingkai Kong
...
Yanqiao Zhu
Yuanqi Du
Alán Aspuru-Guzik
Kirill Neklyudov
Chao Zhang
29
10
0
23 Jun 2024
Evaluating representation learning on the protein structure universe
Evaluating representation learning on the protein structure universe
Arian R. Jamasb
Alex Morehead
Chaitanya K. Joshi
Zuobai Zhang
Kieran Didi
...
Charles Harris
Jian Tang
Jianlin Cheng
Pietro Lio
Tom L. Blundell
SSL
21
12
0
19 Jun 2024
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Yulai Zhao
Masatoshi Uehara
Gabriele Scalia
Tommaso Biancalani
Sergey Levine
Ehsan Hajiramezanali
Ehsan Hajiramezanali
AI4CE
41
3
0
17 Jun 2024
Tx-LLM: A Large Language Model for Therapeutics
Tx-LLM: A Large Language Model for Therapeutics
Juan Manuel Zambrano Chaves
Eric Wang
Tao Tu
E. D. Vaishnav
Byron Lee
S. S. Mahdavi
Christopher Semturs
David Fleet
Vivek Natarajan
Shekoofeh Azizi
LM&MA
14
12
0
10 Jun 2024
Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?
Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?
Kangyu Zheng
Yingzhou Lu
Zaixi Zhang
Zhongwei Wan
Yao Ma
Marinka Zitnik
Tianfan Fu
ELM
14
6
0
04 Jun 2024
Enhancing Molecular Property Prediction via Mixture of Collaborative
  Experts
Enhancing Molecular Property Prediction via Mixture of Collaborative Experts
Xu Yao
Shuang Liang
Songqiao Han
Hailiang Huang
6
4
0
06 Dec 2023
Language models in molecular discovery
Language models in molecular discovery
Chaoqi Wang
Yibo Jiang
Chenghao Yang
Han Liu
Yuxin Chen
4
7
0
28 Sep 2023
ADBench: Anomaly Detection Benchmark
ADBench: Anomaly Detection Benchmark
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
14
293
0
19 Jun 2022
Accelerating high-throughput virtual screening through molecular
  pool-based active learning
Accelerating high-throughput virtual screening through molecular pool-based active learning
David E. Graff
E. Shakhnovich
Connor W. Coley
62
139
0
13 Dec 2020
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation
  Models
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy
Alexander Zhebrak
Benjamín Sánchez-Lengeling
Sergey Golovanov
Oktai Tatanov
...
Simon Johansson
Hongming Chen
Sergey I. Nikolenko
Alán Aspuru-Guzik
Alex Zhavoronkov
ELM
151
628
0
29 Nov 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
181
878
0
07 Jun 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
152
1,748
0
02 Mar 2017
1