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MoleculeNet: A Benchmark for Molecular Machine Learning

MoleculeNet: A Benchmark for Molecular Machine Learning

2 March 2017
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
    OOD
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Papers citing "MoleculeNet: A Benchmark for Molecular Machine Learning"

50 / 802 papers shown
Title
Chemistry3D: Robotic Interaction Benchmark for Chemistry Experiments
Chemistry3D: Robotic Interaction Benchmark for Chemistry Experiments
Shoujie Li
Yan Huang
Changqing Guo
Tong Wu
Jiawei Zhang
Linrui Zhang
Wenbo Ding
36
1
0
12 Jun 2024
Cometh: A continuous-time discrete-state graph diffusion model
Cometh: A continuous-time discrete-state graph diffusion model
Antoine Siraudin
Fragkiskos D. Malliaros
Christopher Morris
41
3
0
10 Jun 2024
MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension
MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension
Khiem Le
Zhichun Guo
Kaiwen Dong
Xiaobao Huang
B. Nan
Roshni G. Iyer
Xiangliang Zhang
Olaf Wiest
Wei Wang
Nitesh V. Chawla
41
8
0
10 Jun 2024
What Can We Learn from State Space Models for Machine Learning on
  Graphs?
What Can We Learn from State Space Models for Machine Learning on Graphs?
Yinan Huang
Siqi Miao
Pan Li
44
7
0
09 Jun 2024
Enhancing Size Generalization in Graph Neural Networks through
  Disentangled Representation Learning
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
Zheng Huang
Qihui Yang
Dawei Zhou
Yujun Yan
AI4CE
33
3
0
07 Jun 2024
Using GNN property predictors as molecule generators
Using GNN property predictors as molecule generators
Felix Therrien
Edward H. Sargent
Oleksandr Voznyy
45
1
0
05 Jun 2024
E(n) Equivariant Message Passing Cellular Networks
E(n) Equivariant Message Passing Cellular Networks
Veljko Kovač
Erik J. Bekkers
Pietro Lio'
Floor Eijkelboom
39
1
0
05 Jun 2024
In-Context Learning of Physical Properties: Few-Shot Adaptation to
  Out-of-Distribution Molecular Graphs
In-Context Learning of Physical Properties: Few-Shot Adaptation to Out-of-Distribution Molecular Graphs
Grzegorz Kaszuba
Amirhossein D. Naghdi
Dario Massa
Stefanos Papanikolaou
Andrzej Jaszkiewicz
Piotr Sankowski
AI4CE
OODD
42
0
0
03 Jun 2024
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph
  Learning
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning
Junjie Xu
Zongyu Wu
Min Lin
Xiang Zhang
Suhang Wang
30
11
0
03 Jun 2024
Scaffold Splits Overestimate Virtual Screening Performance
Scaffold Splits Overestimate Virtual Screening Performance
Qianrong Guo
Saiveth Hernández-Hernández
Pedro J. Ballester
39
6
0
02 Jun 2024
Dual-perspective Cross Contrastive Learning in Graph Transformers
Dual-perspective Cross Contrastive Learning in Graph Transformers
Zelin Yao
Chuang Liu
Xueqi Ma
Mukun Chen
Jia Wu
Xiantao Cai
Bo Du
Wenbin Hu
43
0
0
01 Jun 2024
Predicting solvation free energies with an implicit solvent machine learning potential
Predicting solvation free energies with an implicit solvent machine learning potential
Sebastien Röcken
A. F. Burnet
Julija Zavadlav
AI4Cl
AI4CE
74
3
0
31 May 2024
Adapting Differential Molecular Representation with Hierarchical Prompts
  for Multi-label Property Prediction
Adapting Differential Molecular Representation with Hierarchical Prompts for Multi-label Property Prediction
Linjia Kang
Songhua Zhou
Shuyan Fang
Shichao Liu
Wen Zhang
AI4CE
52
3
0
29 May 2024
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine
  Learning
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
Minghao Xu
Yunteng Geng
Yihang Zhang
Ling Yang
Jian Tang
Wentao Zhang
40
2
0
25 May 2024
Quantifying the Gain in Weak-to-Strong Generalization
Quantifying the Gain in Weak-to-Strong Generalization
Moses Charikar
Chirag Pabbaraju
Kirankumar Shiragur
ELM
34
17
0
24 May 2024
GLaD: Synergizing Molecular Graphs and Language Descriptors for Enhanced
  Power Conversion Efficiency Prediction in Organic Photovoltaic Devices
GLaD: Synergizing Molecular Graphs and Language Descriptors for Enhanced Power Conversion Efficiency Prediction in Organic Photovoltaic Devices
Thao Nguyen
Tiara Torres-Flores
Changhyun Hwang
Carl N. Edwards
Ying Diao
Heng Ji
32
0
0
23 May 2024
Hi-GMAE: Hierarchical Graph Masked Autoencoders
Hi-GMAE: Hierarchical Graph Masked Autoencoders
Chuang Liu
Zelin Yao
Yibing Zhan
Xueqi Ma
Dapeng Tao
Jia Wu
Wenbin Hu
Shirui Pan
Bo Du
AI4CE
47
0
0
17 May 2024
UniCorn: A Unified Contrastive Learning Approach for Multi-view
  Molecular Representation Learning
UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
Shikun Feng
Yuyan Ni
Minghao Li
Yanwen Huang
Zhiming Ma
Wei-Ying Ma
Yanyan Lan
SSL
49
7
0
15 May 2024
Could Chemical LLMs benefit from Message Passing
Could Chemical LLMs benefit from Message Passing
Jiaqing Xie
Ziheng Chi
38
0
0
14 May 2024
SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation
  Learning
SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
Jiying Zhang
Zijing Liu
Yu Wang
Yu Li
DiffM
45
1
0
09 May 2024
Molecular Identification via Molecular Fingerprint extraction from
  Atomic Force Microscopy images
Molecular Identification via Molecular Fingerprint extraction from Atomic Force Microscopy images
Manuel González Lastre
Pablo Pou
Miguel Wiche
Daniel Ebeling
A. Schirmeisen
Rubén Pérez
20
1
0
07 May 2024
DrugLLM: Open Large Language Model for Few-shot Molecule Generation
DrugLLM: Open Large Language Model for Few-shot Molecule Generation
Xianggen Liu
Yan Guo
Haoran Li
Jin Liu
Shudong Huang
Bowen Ke
Jiancheng Lv
26
5
0
07 May 2024
AnchorGT: Efficient and Flexible Attention Architecture for Scalable
  Graph Transformers
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers
Wenhao Zhu
Guojie Song
Liangji Wang
Shaoguo Liu
42
0
0
06 May 2024
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
Seojin Kim
Jaehyun Nam
Sihyun Yu
Younghoon Shin
Jinwoo Shin
40
2
0
05 May 2024
Graph as Point Set
Graph as Point Set
Xiyuan Wang
Pan Li
Muhan Zhang
GNN
3DPC
PINN
44
4
0
05 May 2024
Contrastive Dual-Interaction Graph Neural Network for Molecular Property
  Prediction
Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction
Zexing Zhao
Guangsi Shi
Xiaopeng Wu
Ruohua Ren
Xiaojun Gao
Fuyi Li
26
1
0
04 May 2024
Community-Invariant Graph Contrastive Learning
Community-Invariant Graph Contrastive Learning
Shiyin Tan
Dongyuan Li
Renhe Jiang
Ying Zhang
Manabu Okumura
OOD
52
4
0
02 May 2024
ApisTox: a new benchmark dataset for the classification of small
  molecules toxicity on honey bees
ApisTox: a new benchmark dataset for the classification of small molecules toxicity on honey bees
Jakub Adamczyk
Jakub Poziemski
Pawe l Siedlecki
17
2
0
24 Apr 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
Chuang Liu
Yuyao Wang
Yibing Zhan
Xueqi Ma
Dapeng Tao
Jia Wu
Wenbin Hu
51
4
0
24 Apr 2024
A Survey of Large Language Models on Generative Graph Analytics: Query,
  Learning, and Applications
A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications
Wenbo Shang
Xin Huang
27
9
0
23 Apr 2024
On the Scalability of GNNs for Molecular Graphs
On the Scalability of GNNs for Molecular Graphs
Maciej Sypetkowski
Frederik Wenkel
Farimah Poursafaei
Nia Dickson
Karush Suri
Philip Fradkin
Dominique Beaini
GNN
AI4CE
39
12
0
17 Apr 2024
Multi-objective generative AI for designing novel brain-targeting small
  molecules
Multi-objective generative AI for designing novel brain-targeting small molecules
Ayush Noori
Inaki Arango
William E. Byrd
Nada Amin
24
0
0
16 Apr 2024
FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction
FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction
A. Young
Fei Wang
D. Wishart
Bo Wang
Hannes L. Röst
Russell Greiner
50
3
0
02 Apr 2024
Generalizable, Fast, and Accurate DeepQSPR with fastprop
Generalizable, Fast, and Accurate DeepQSPR with fastprop
Jackson Burns
William Green
38
0
0
02 Apr 2024
Are large language models superhuman chemists?
Are large language models superhuman chemists?
Adrian Mirza
Nawaf Alampara
Sreekanth Kunchapu
Benedict Emoekabu
Aswanth Krishnan
...
Leanne M. Stafast
Dinga Wonanke
Michael Pieler
P. Schwaller
K. Jablonka
ELM
AI4MH
LRM
LM&MA
31
5
0
01 Apr 2024
Diffusion-Driven Domain Adaptation for Generating 3D Molecules
Diffusion-Driven Domain Adaptation for Generating 3D Molecules
Haokai Hong
Wanyu Lin
Kay Chen Tan
DiffM
37
2
0
01 Apr 2024
Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing
Zhenyu Qian
Yiming Qian
Yuting Song
Fei Gao
Hai Jin
Chen Yu
Xia Xie
43
0
0
31 Mar 2024
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph
  Representational Learning
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
Raffaele Paolino
Sohir Maskey
Pascal Welke
Gitta Kutyniok
33
2
0
20 Mar 2024
How scanning probe microscopy can be supported by Artificial
  Intelligence and quantum computing
How scanning probe microscopy can be supported by Artificial Intelligence and quantum computing
A. Pręgowska
Agata Roszkiewicz
Magdalena Osial
M. Giersig
33
4
0
20 Mar 2024
A Differential Geometric View and Explainability of GNN on Evolving
  Graphs
A Differential Geometric View and Explainability of GNN on Evolving Graphs
Yazheng Liu
Xi Zhang
Sihong Xie
21
3
0
11 Mar 2024
Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding
  for Extended-Connectivity Fingerprints
Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding for Extended-Connectivity Fingerprints
Markus Dablander
Thierry Hanser
R. Lambiotte
Garrett M. Morris
37
1
0
10 Mar 2024
Benchmarking Large Language Models for Molecule Prediction Tasks
Benchmarking Large Language Models for Molecule Prediction Tasks
Zhiqiang Zhong
Kuangyu Zhou
Davide Mottin
35
8
0
08 Mar 2024
Bridging Text and Molecule: A Survey on Multimodal Frameworks for
  Molecule
Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule
Yi Xiao
Xiangxin Zhou
Qiang Liu
Liang Wang
AI4CE
32
3
0
07 Mar 2024
Large Language Models are In-Context Molecule Learners
Large Language Models are In-Context Molecule Learners
Jiatong Li
Wei Liu
Zhihao Ding
Wenqi Fan
Yuqiang Li
Qing Li
40
5
0
07 Mar 2024
ESM All-Atom: Multi-scale Protein Language Model for Unified Molecular
  Modeling
ESM All-Atom: Multi-scale Protein Language Model for Unified Molecular Modeling
Kangjie Zheng
Siyu Long
Tianyu Lu
Junwei Yang
Xinyu Dai
Ming Zhang
Zaiqing Nie
Wei-Ying Ma
Hao Zhou
41
5
0
05 Mar 2024
Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey
Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey
Qizhi Pei
Lijun Wu
Kaiyuan Gao
Jinhua Zhu
Yue Wang
Zun Wang
Tao Qin
Rui Yan
AI4CE
54
19
0
03 Mar 2024
Decoupling Weighing and Selecting for Integrating Multiple Graph
  Pre-training Tasks
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
Tianyu Fan
Lirong Wu
Yufei Huang
Haitao Lin
Cheng Tan
Zhangyang Gao
Stan Z. Li
40
3
0
03 Mar 2024
GraphRCG: Self-Conditioned Graph Generation
GraphRCG: Self-Conditioned Graph Generation
Song Wang
Zhen Tan
Xinyu Zhao
Tianlong Chen
Huan Liu
Wenlin Yao
50
0
0
02 Mar 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
Jiaqi Han
Jiacheng Cen
Liming Wu
Zongzhao Li
Xiangzhe Kong
...
Zhewei Wei
Deli Zhao
Yu Rong
Wenbing Huang
Wenbing Huang
AI4CE
34
20
0
01 Mar 2024
BioT5+: Towards Generalized Biological Understanding with IUPAC
  Integration and Multi-task Tuning
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning
Qizhi Pei
Lijun Wu
Kaiyuan Gao
Xiaozhuan Liang
Yin Fang
Jinhua Zhu
Shufang Xie
Tao Qin
Rui Yan
AI4CE
51
30
0
27 Feb 2024
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