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Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey
  from Precision to Interpretability

Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability

16 February 2023
Zhiqiang Zhong
A. Barkova
Davide Mottin
ArXivPDFHTML

Papers citing "Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability"

13 / 13 papers shown
Title
Benchmarking Large Language Models for Molecule Prediction Tasks
Benchmarking Large Language Models for Molecule Prediction Tasks
Zhiqiang Zhong
Kuangyu Zhou
Davide Mottin
21
5
0
08 Mar 2024
Efficiently Predicting Mutational Effect on Homologous Proteins by
  Evolution Encoding
Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding
Zhiqiang Zhong
Davide Mottin
16
1
0
20 Feb 2024
Harnessing Large Language Models as Post-hoc Correctors
Harnessing Large Language Models as Post-hoc Correctors
Zhiqiang Zhong
Kuangyu Zhou
Davide Mottin
14
3
0
20 Feb 2024
On the Robustness of Post-hoc GNN Explainers to Label Noise
On the Robustness of Post-hoc GNN Explainers to Label Noise
Zhiqiang Zhong
Yangqianzi Jiang
Davide Mottin
AAML
NoLa
8
2
0
04 Sep 2023
OntoProtein: Protein Pretraining With Gene Ontology Embedding
OntoProtein: Protein Pretraining With Gene Ontology Embedding
Ningyu Zhang
Zhen Bi
Xiaozhuan Liang
Shuyang Cheng
Haosen Hong
Shumin Deng
J. Lian
Qiang Zhang
Huajun Chen
88
86
0
23 Jan 2022
Directional Message Passing on Molecular Graphs via Synthetic
  Coordinates
Directional Message Passing on Molecular Graphs via Synthetic Coordinates
Johannes Klicpera
Chandan Yeshwanth
Stephan Günnemann
25
34
0
08 Nov 2021
Pre-training Molecular Graph Representation with 3D Geometry
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu
Hanchen Wang
Weiyang Liu
Joan Lasenby
Hongyu Guo
Jian Tang
106
294
0
07 Oct 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo
Keqiang Yan
Shuiwang Ji
DRL
157
185
0
01 Feb 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate
  Interatomic Potentials
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
Simon L. Batzner
Albert Musaelian
Lixin Sun
Mario Geiger
J. Mailoa
M. Kornbluth
N. Molinari
Tess E. Smidt
Boris Kozinsky
183
1,218
0
08 Jan 2021
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
164
1,690
0
18 Mar 2020
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Erik Cambria
Pekka Marttinen
Philip S. Yu
166
1,877
0
02 Feb 2020
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