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GPS++: Reviving the Art of Message Passing for Molecular Property
  Prediction

GPS++: Reviving the Art of Message Passing for Molecular Property Prediction

6 February 2023
Dominic Masters
Josef Dean
Kerstin Klaser
Zhiyi Li
Sam Maddrell-Mander
Adam Sanders
Hatem Helal
D. Beker
Andrew Fitzgibbon
Shenyang Huang
Ladislav Rampášek
Dominique Beaini
ArXivPDFHTML

Papers citing "GPS++: Reviving the Art of Message Passing for Molecular Property Prediction"

9 / 9 papers shown
Title
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
Ali Behrouz
Ali Parviz
Mahdi Karami
Clayton Sanford
Bryan Perozzi
Vahab Mirrokni
81
2
0
23 Nov 2024
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular
  Retrieval
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
Philip Fradkin
Puria Azadi
Karush Suri
Frederik Wenkel
A. Bashashati
Maciej Sypetkowski
Dominique Beaini
33
1
0
10 Sep 2024
Generative Active Learning for the Search of Small-molecule Protein
  Binders
Generative Active Learning for the Search of Small-molecule Protein Binders
Maksym Korablyov
Cheng-Hao Liu
Moksh Jain
A. V. D. Sloot
Eric Jolicoeur
...
Marwin H. S. Segler
Michael M. Bronstein
A. Marinier
Mike Tyers
Yoshua Bengio
21
4
0
02 May 2024
Towards Foundational Models for Molecular Learning on Large-Scale
  Multi-Task Datasets
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
Dominique Beaini
Shenyang Huang
Joao Alex Cunha
Zhiyi Li
Gabriela Moisescu-Pareja
...
Thérence Bois
Andrew Fitzgibbon
Bla.zej Banaszewski
Chad Martin
Dominic Masters
AI4CE
28
19
0
06 Oct 2023
GRPE: Relative Positional Encoding for Graph Transformer
GRPE: Relative Positional Encoding for Graph Transformer
Wonpyo Park
Woonggi Chang
Donggeon Lee
Juntae Kim
Seung-won Hwang
41
74
0
30 Jan 2022
Graph Neural Networks with Learnable Structural and Positional
  Representations
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi
A. Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
GNN
197
309
0
15 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,106
0
27 Apr 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
206
1,240
0
08 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
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