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PotentialNet for Molecular Property Prediction

PotentialNet for Molecular Property Prediction

12 March 2018
Evan N. Feinberg
Debnil Sur
Zhenqin Wu
B. Husic
Huanghao Mai
Yang Li
Saisai Sun
Jianyi Yang
Bharath Ramsundar
Vijay S. Pande
ArXivPDFHTML

Papers citing "PotentialNet for Molecular Property Prediction"

25 / 25 papers shown
Title
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot
  Molecular Property Prediction
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction
Zeyu Wang
Tianyi Jiang
Yao Lu
Xiaoze Bao
Shanqing Yu
Bin Wei
Qi Xuan
42
1
0
24 May 2024
Multiparameter Persistent Homology for Molecular Property Prediction
Multiparameter Persistent Homology for Molecular Property Prediction
Andac Demir
B. Kiziltan
27
1
0
17 Nov 2023
Structured Chemistry Reasoning with Large Language Models
Structured Chemistry Reasoning with Large Language Models
Siru Ouyang
Zhuosheng Zhang
Bing Yan
Xuan Liu
Yejin Choi
Jiawei Han
Lianhui Qin
LRM
28
14
0
16 Nov 2023
Atomic and Subgraph-aware Bilateral Aggregation for Molecular
  Representation Learning
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning
Jiahao Chen
Yurou Liu
Jiangmeng Li
Bing-Huang Su
Jirong Wen
29
0
0
22 May 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
54
141
0
11 Apr 2023
Graph Representation Learning for Interactive Biomolecule Systems
Graph Representation Learning for Interactive Biomolecule Systems
Xinye Xiong
Bingxin Zhou
Yu Guang Wang
AI4CE
GNN
41
0
0
05 Apr 2023
Predicting Molecule-Target Interaction by Learning Biomedical Network
  and Molecule Representations
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations
Jinjiang Guo
Jie Li
27
0
0
02 Feb 2023
Structure-based drug design with geometric deep learning
Structure-based drug design with geometric deep learning
Clemens Isert
Kenneth Atz
G. Schneider
53
104
0
19 Oct 2022
Improving Molecular Representation Learning with Metric
  Learning-enhanced Optimal Transport
Improving Molecular Representation Learning with Metric Learning-enhanced Optimal Transport
Fang Wu
Nicolas Courty
Shuting Jin
Stan Z. Li
OOD
OT
21
8
0
13 Feb 2022
Genetic Algorithm for Constrained Molecular Inverse Design
Genetic Algorithm for Constrained Molecular Inverse Design
Yurim Lee
Gydam Choi
Minsug Yoon
Cheongwon Kim
29
1
0
07 Dec 2021
IAC: A Framework for Enabling Patient Agency in the Use of AI-Enabled
  Healthcare
IAC: A Framework for Enabling Patient Agency in the Use of AI-Enabled Healthcare
Chinasa T. Okolo
Michelle González Amador
21
0
0
29 Oct 2021
RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs
RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs
Anahita Iravanizad
E. Medina
Martin Stoll
GNN
36
1
0
15 Sep 2021
Geometric Deep Learning on Molecular Representations
Geometric Deep Learning on Molecular Representations
Kenneth Atz
F. Grisoni
G. Schneider
AI4CE
34
287
0
26 Jul 2021
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
Mufei Li
Jinjing Zhou
Jiajing Hu
Wenxuan Fan
Yangkang Zhang
Yaxin Gu
George Karypis
GNN
AI4CE
33
159
0
27 Jun 2021
Artificial Intelligence in Drug Discovery: Applications and Techniques
Artificial Intelligence in Drug Discovery: Applications and Techniques
Jianyuan Deng
Zhibo Yang
Iwao Ojima
Dimitris Samaras
Fusheng Wang
AI4TS
29
100
0
09 Jun 2021
Molecular machine learning with conformer ensembles
Molecular machine learning with conformer ensembles
Simon Axelrod
Rafael Gómez-Bombarelli
AI4CE
20
49
0
15 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development
Utilising Graph Machine Learning within Drug Discovery and Development
Thomas Gaudelet
Ben Day
Arian R. Jamasb
Jyothish Soman
Cristian Regep
...
Jian Tang
D. Roblin
Tom L. Blundell
M. Bronstein
J. Taylor-King
AI4CE
27
36
0
09 Dec 2020
Investigating 3D Atomic Environments for Enhanced QSAR
Investigating 3D Atomic Environments for Enhanced QSAR
William McCorkindale
C. Poelking
A. Lee
17
3
0
24 Oct 2020
PIGNet: A physics-informed deep learning model toward generalized
  drug-target interaction predictions
PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions
Seokhyun Moon
Wonho Zhung
Soojung Yang
Jaechang Lim
W. Kim
15
97
0
22 Aug 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning
  of Computational Physics Data using Unstructured Spatial Discretizations
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations
John Tencer
Kevin Potter
AI4CE
18
13
0
11 Jun 2020
Improved Protein-ligand Binding Affinity Prediction with Structure-Based
  Deep Fusion Inference
Improved Protein-ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference
Derek Jones
Hyojin Kim
Xiaohua Zhang
A. Zemla
Garrett A. Stevenson
W. D. Bennett
D. Kirshner
Sergio E. Wong
F. Lightstone
Jonathan E. Allen
AI4CE
15
190
0
17 May 2020
InteractionNet: Modeling and Explaining of Noncovalent Protein-Ligand
  Interactions with Noncovalent Graph Neural Network and Layer-Wise Relevance
  Propagation
InteractionNet: Modeling and Explaining of Noncovalent Protein-Ligand Interactions with Noncovalent Graph Neural Network and Layer-Wise Relevance Propagation
Hyeoncheol Cho
E. Lee
I. Choi
GNN
FAtt
25
4
0
12 May 2020
Molecule Attention Transformer
Molecule Attention Transformer
Lukasz Maziarka
Tomasz Danel
Slawomir Mucha
Krzysztof Rataj
Jacek Tabor
Stanislaw Jastrzebski
19
167
0
19 Feb 2020
Machine learning for molecular simulation
Machine learning for molecular simulation
Frank Noé
A. Tkatchenko
K. Müller
C. Clementi
AI4CE
16
642
0
07 Nov 2019
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
231
1,780
0
02 Mar 2017
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