ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.04598
  4. Cited By
Reducing Down(stream)time: Pretraining Molecular GNNs using
  Heterogeneous AI Accelerators

Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators

8 November 2022
Jenna A. Bilbrey
Kristina M Herman
Henry W Sprueill
Soritis S. Xantheas
Payel Das
Manuel Lopez Roldan
Mike Kraus
Hatem Helal
Sutanay Choudhury
    AI4CE
ArXivPDFHTML

Papers citing "Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators"

3 / 3 papers shown
Title
GPS++: Reviving the Art of Message Passing for Molecular Property
  Prediction
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction
Dominic Masters
Josef Dean
Kerstin Klaser
Zhiyi Li
Sam Maddrell-Mander
...
D. Beker
Andrew Fitzgibbon
Shenyang Huang
Ladislav Rampášek
Dominique Beaini
28
8
0
06 Feb 2023
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property
  Prediction
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction
Dominic Masters
Josef Dean
Kerstin Klaser
Zhiyi Li
Sam Maddrell-Mander
Adam Sanders
Hatem Helal
D. Beker
Ladislav Rampášek
Dominique Beaini
22
23
0
18 Nov 2022
Scalable Geometric Deep Learning on Molecular Graphs
Scalable Geometric Deep Learning on Molecular Graphs
Nathan C. Frey
S. Samsi
Joseph McDonald
Lin Li
Connor W. Coley
V. Gadepally
GNN
AI4CE
14
4
0
06 Dec 2021
1