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. 2010.09885
  4. Cited By
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular
  Property Prediction

ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction

19 October 2020
Seyone Chithrananda
Gabriel Grand
Bharath Ramsundar
    AI4CE
ArXivPDFHTML

Papers citing "ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction"

50 / 167 papers shown
Title
Knowledge-augmented Pre-trained Language Models for Biomedical Relation Extraction
Knowledge-augmented Pre-trained Language Models for Biomedical Relation Extraction
Mario Sanger
Ulf Leser
45
0
0
01 May 2025
Combining GCN Structural Learning with LLM Chemical Knowledge for Enhanced Virtual Screening
Combining GCN Structural Learning with LLM Chemical Knowledge for Enhanced Virtual Screening
Radia Berreziga
Mohammed Brahimi
Khairedine Kraim
Hamid Azzoune
131
0
0
24 Apr 2025
LLM Agent Swarm for Hypothesis-Driven Drug Discovery
LLM Agent Swarm for Hypothesis-Driven Drug Discovery
Kevin Song
Andrew Trotter
Jake Y. Chen
22
0
0
24 Apr 2025
Enhancing TCR-Peptide Interaction Prediction with Pretrained Language Models and Molecular Representations
Enhancing TCR-Peptide Interaction Prediction with Pretrained Language Models and Molecular Representations
Cong Qi
Hanzhang Fang
Siqi Jiang
Tianxing Hu
Wei Zhi
27
0
0
22 Apr 2025
Streamlining Biomedical Research with Specialized LLMs
Streamlining Biomedical Research with Specialized LLMs
Linqing Chen
Weilei Wang
Yubin Xia
Wentao Wu
Peng Xu
...
Lisha Zhang
Fu Bian
Zhongkai Ye
Lidong Pei
Changyang Tu
28
1
0
15 Apr 2025
Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation
Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation
Chenbin Zhang
Zhiqiang Hu
Chuchu Jiang
Wen Chen
Jie Xu
S. Zhang
30
0
0
13 Apr 2025
OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery
OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery
Vignesh Prabhakar
Md Amirul Islam
Adam Atanas
Yixuan Wang
J. N. Han
...
Rucha Apte
Robert Clark
Kang Xu
Zihan Wang
Kai Liu
LRM
85
1
0
22 Mar 2025
Chem42: a Family of chemical Language Models for Target-aware Ligand Generation
Chem42: a Family of chemical Language Models for Target-aware Ligand Generation
A. Singh
Engin Tekin
Maryam Nadeem
Nancy A. ElNaker
Mohammad Amaan Sayeed
Natalia Vassilieva
Boulbaba Ben Amor
47
1
0
20 Mar 2025
Uni-3DAR: Unified 3D Generation and Understanding via Autoregression on Compressed Spatial Tokens
Uni-3DAR: Unified 3D Generation and Understanding via Autoregression on Compressed Spatial Tokens
Shuqi Lu
Haowei Lin
Lin Yao
Zhifeng Gao
Xiaohong Ji
W. Elwasif
Linfeng Zhang
Guolin Ke
48
0
0
20 Mar 2025
High-entropy Advantage in Neural Networks' Generalizability
High-entropy Advantage in Neural Networks' Generalizability
Entao Yang
Xuzhi Zhang
Yue Shang
Ge Zhang
AI4CE
63
0
0
17 Mar 2025
Exploiting Edited Large Language Models as General Scientific Optimizers
Exploiting Edited Large Language Models as General Scientific Optimizers
Qitan Lv
T. Liu
Haoyu Wang
41
0
0
08 Mar 2025
A Generalist Cross-Domain Molecular Learning Framework for Structure-Based Drug Discovery
Yiheng Zhu
Mingyang Li
Junlong Liu
Kun Fu
Jian Wu
Yue Liu
Mingze Yin
Jieping Ye
Jian Wu
Zehua Wang
62
0
0
06 Mar 2025
LLM-Fusion: A Novel Multimodal Fusion Model for Accelerated Material Discovery
Onur Boyar
Indra Priyadarsini
Seiji Takeda
Lisa Hamada
42
0
0
02 Mar 2025
Broadening Discovery through Structural Models: Multimodal Combination of Local and Structural Properties for Predicting Chemical Features
Broadening Discovery through Structural Models: Multimodal Combination of Local and Structural Properties for Predicting Chemical Features
Nikolai Rekut
Alexey Orlov
Klea Ziu
Elizaveta Starykh
Martin Takáč
Aleksandr Beznosikov
64
0
0
25 Feb 2025
CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening
CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening
Gen Zhou
Sugitha Janarthanan
Yutong Lu
Pingzhao Hu
47
0
0
16 Feb 2025
Challenging reaction prediction models to generalize to novel chemistry
Challenging reaction prediction models to generalize to novel chemistry
John Bradshaw
Anji Zhang
Babak Mahjour
David E. Graff
Marwin H. S. Segler
Connor W. Coley
40
1
0
11 Jan 2025
Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction
Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction
Sepideh Maleki
Jan-Christian Huetter
Kangway V Chuang
Gabriele Scalia
Tommaso Biancalani
Tommaso Biancalani
AI4CE
90
2
0
18 Dec 2024
SMI-Editor: Edit-based SMILES Language Model with Fragment-level
  Supervision
SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision
Kangjie Zheng
Siyue Liang
Junwei Yang
Bin Feng
Zequn Liu
Wei Ju
Zhiping Xiao
Ming Zhang
73
1
0
07 Dec 2024
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration
Sizhe Liu
Yaojie Lu
Siyu Chen
Xiyang Hu
Jieyu Zhao
Tianfan Fu
Yue Zhao
LLMAG
79
6
0
24 Nov 2024
MolMetaLM: a Physicochemical Knowledge-Guided Molecular Meta Language
  Model
MolMetaLM: a Physicochemical Knowledge-Guided Molecular Meta Language Model
Yifan Wu
Min Zeng
Yang Li
Yuyao Zhang
Min Li
71
1
0
23 Nov 2024
NPGPT: Natural Product-Like Compound Generation with GPT-based Chemical
  Language Models
NPGPT: Natural Product-Like Compound Generation with GPT-based Chemical Language Models
Koh Sakano
Kairi Furui
Masahito Ohue
64
1
0
19 Nov 2024
Bio-xLSTM: Generative modeling, representation and in-context learning
  of biological and chemical sequences
Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
Niklas Schmidinger
Lisa Schneckenreiter
Philipp Seidl
Johannes Schimunek
Pieter-Jan Hoedt
Johannes Brandstetter
Andreas Mayr
Sohvi Luukkonen
Sepp Hochreiter
G. Klambauer
MedIm
61
4
0
06 Nov 2024
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation
Bohan Lyu
Yadi Cao
Duncan Watson-Parris
Leon Bergen
Taylor Berg-Kirkpatrick
Rose Yu
61
3
0
01 Nov 2024
Chemical Language Model Linker: blending text and molecules with modular adapters
Chemical Language Model Linker: blending text and molecules with modular adapters
Yifan Deng
Spencer S. Ericksen
Anthony Gitter
30
1
0
26 Oct 2024
Multi-view biomedical foundation models for molecule-target and property prediction
Multi-view biomedical foundation models for molecule-target and property prediction
Parthasarathy Suryanarayanan
Yunguang Qiu
Shreyans Sethi
Diwakar Mahajan
Hongyang Li
...
Bum Chul Kwon
Pablo Meyer
Feixiong Cheng
Jianying Hu
Joseph A. Morrone
AI4CE
36
0
0
25 Oct 2024
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder
Maksim Kuznetsov
Airat Valiev
Alex Aliper
Daniil Polykovskiy
E. Tutubalina
Rim Shayakhmetov
Z. Miftahutdinov
27
0
0
11 Oct 2024
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models
Alexius Wadell
Anoushka Bhutani
Venkatasubramanian Viswanathan
127
0
0
19 Sep 2024
Pre-Trained Language Models for Keyphrase Prediction: A Review
Pre-Trained Language Models for Keyphrase Prediction: A Review
Muhammad Umair
Tangina Sultana
Young-Koo Lee
32
4
0
02 Sep 2024
MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for
  Activity Cliffs
MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for Activity Cliffs
Zhixiang Cheng
Hongxin Xiang
Pengsen Ma
Li Zeng
Xin Jin
...
Yang Deng
Bosheng Song
Xinxin Feng
Changhui Deng
Xiangxiang Zeng
28
0
0
02 Sep 2024
Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep
  Molecular Understanding
Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep Molecular Understanding
Bing Hu
Anita Layton
Helen Chen
MedIm
36
2
0
14 Aug 2024
LipidBERT: A Lipid Language Model Pre-trained on METiS de novo Lipid Library
LipidBERT: A Lipid Language Model Pre-trained on METiS de novo Lipid Library
Tianhao Yu
Cai Yao
Zhuorui Sun
Feng Shi
Lin Zhang
...
Xicheng Zhang
Jiali Zou
Wenshou Wang
C. Lai
Kai Wang
26
3
0
12 Aug 2024
Neural Network Emulator for Atmospheric Chemical ODE
Neural Network Emulator for Atmospheric Chemical ODE
Zhi-Song Liu
Petri S. Clusius
Michael Boy
42
3
0
03 Aug 2024
UniMoT: Unified Molecule-Text Language Model with Discrete Token
  Representation
UniMoT: Unified Molecule-Text Language Model with Discrete Token Representation
Jiayuan Zhu
Yunli Qi
Yongqiang Chen
Quanming Yao
29
7
0
01 Aug 2024
A Large Encoder-Decoder Family of Foundation Models For Chemical
  Language
A Large Encoder-Decoder Family of Foundation Models For Chemical Language
Eduardo Soares
Victor Shirasuna
E. V. Brazil
Renato F. G. Cerqueira
Dmitry Zubarev
Kristin Schmidt
AI4CE
29
7
0
24 Jul 2024
Graph Transformers: A Survey
Graph Transformers: A Survey
Ahsan Shehzad
Feng Xia
Shagufta Abid
Ciyuan Peng
Shuo Yu
Dongyu Zhang
Karin Verspoor
AI4CE
34
9
0
13 Jul 2024
MolTRES: Improving Chemical Language Representation Learning for
  Molecular Property Prediction
MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction
Jun-Hyung Park
Yeachan Kim
Mingyu Lee
Hyuntae Park
SangKeun Lee
37
0
0
09 Jul 2024
Improving Performance Prediction of Electrolyte Formulations with
  Transformer-based Molecular Representation Model
Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation Model
Indra Priyadarsini
Vidushi Sharma
Seiji Takeda
Akihiro Kishimoto
Lisa Hamada
Hajime Shinohara
27
5
0
28 Jun 2024
PharmaGPT: Domain-Specific Large Language Models for Bio-Pharmaceutical
  and Chemistry
PharmaGPT: Domain-Specific Large Language Models for Bio-Pharmaceutical and Chemistry
Linqing Chen
Weilei Wang
Zilong Bai
Peng Xu
Yan Fang
...
Lisha Zhang
Fu Bian
Zhongkai Ye
Lidong Pei
Changyang Tu
AI4MH
LM&MA
53
2
0
26 Jun 2024
MolFusion: Multimodal Fusion Learning for Molecular Representations via
  Multi-granularity Views
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views
Muzhen Cai
Sendong Zhao
Haochun Wang
Yanrui Du
Zewen Qiang
Bing Qin
Ting Liu
37
0
0
26 Jun 2024
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets
Piotr Gaiñski
Michał Koziarski
Krzysztof Maziarz
Marwin H. S. Segler
Jacek Tabor
Marek Śmieja
52
3
0
26 Jun 2024
MatText: Do Language Models Need More than Text & Scale for Materials
  Modeling?
MatText: Do Language Models Need More than Text & Scale for Materials Modeling?
Nawaf Alampara
Santiago Miret
K. Jablonka
56
9
0
25 Jun 2024
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Haorui Wang
Marta Skreta
C. Ser
Wenhao Gao
Lingkai Kong
...
Yanqiao Zhu
Yuanqi Du
Alán Aspuru-Guzik
Kirill Neklyudov
Chao Zhang
47
12
0
23 Jun 2024
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer
  Models
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
Yili Wang
Kaixiong Zhou
Ninghao Liu
Ying Wang
Xin Wang
40
10
0
19 Jun 2024
Machine Learning Based Prediction of Proton Conductivity in
  Metal-Organic Frameworks
Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks
Seunghee Han
Byeong Gwan Lee
Dae Woon Lim
Jihan Kim
AI4CE
22
2
0
18 Jun 2024
Learning Molecular Representation in a Cell
Learning Molecular Representation in a Cell
Gang Liu
Srijit Seal
John Arevalo
Zhenwen Liang
Anne E Carpenter
Meng Jiang
Shantanu Singh
42
2
0
17 Jun 2024
A Comprehensive Survey of Scientific Large Language Models and Their
  Applications in Scientific Discovery
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
Yu Zhang
Xiusi Chen
Bowen Jin
Sheng Wang
Shuiwang Ji
Wei Wang
Jiawei Han
44
27
0
16 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
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
Explainable Molecular Property Prediction: Aligning Chemical Concepts
  with Predictions via Language Models
Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models
Zhenzhong Wang
Zehui Lin
Wanyu Lin
Ming Yang
Minggang Zeng
Kay Chen Tan
28
3
0
25 May 2024
1234
Next