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ChemBERTa-2: Towards Chemical Foundation Models

ChemBERTa-2: Towards Chemical Foundation Models

5 September 2022
Walid Ahmad
Elana Simon
Seyone Chithrananda
Gabriel Grand
Bharath Ramsundar
    AI4CE
ArXivPDFHTML

Papers citing "ChemBERTa-2: Towards Chemical Foundation Models"

6 / 56 papers shown
Title
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular
  Property Prediction
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction
Christopher Fifty
Joseph M. Paggi
Ehsan Amid
J. Leskovec
R. Dror
AI4CE
20
0
0
04 Feb 2023
Bidirectional Generation of Structure and Properties Through a Single
  Molecular Foundation Model
Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model
Jinho Chang
Jong Chul Ye
AI4CE
22
30
0
19 Nov 2022
Reducing Down(stream)time: Pretraining Molecular GNNs using
  Heterogeneous AI Accelerators
Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators
Jenna A. Bilbrey
Kristina M Herman
Henry W Sprueill
Soritis S. Xantheas
Payel Das
Manuel Lopez Roldan
Mike Kraus
Hatem Helal
Sutanay Choudhury
AI4CE
21
4
0
08 Nov 2022
MolE: a molecular foundation model for drug discovery
MolE: a molecular foundation model for drug discovery
Oscar Méndez-Lucio
C. Nicolaou
Berton A. Earnshaw
4
11
0
03 Nov 2022
polyBERT: A chemical language model to enable fully machine-driven
  ultrafast polymer informatics
polyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics
Christopher Kuenneth
R. Ramprasad
34
101
0
29 Sep 2022
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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