Cover Image

Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Pengcheng, Xiao, Cao, Fu, Tianfan, Bhatia, Parminder, Kass-Hout, Taha, Sun, Jimeng, Han, Jiawei
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval
by: Jiang, Pengcheng, et al.
Published: (2024)

DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
by: Xie, Jiaqing, et al.
Published: (2024)

RadDiff: Retrieval-Augmented Denoising Diffusion for Protein Inverse Folding
by: Han, Jin, et al.
Published: (2025)

Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs
by: Yu, Shuyang, et al.
Published: (2024)

KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
by: Jiang, Pengcheng, et al.
Published: (2024)

How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
by: Fradkin, Philip, et al.
Published: (2024)

Robust and Generalizable Atrial Fibrillation Detection from ECG Using Time-Frequency Fusion and Supervised Contrastive Learning
by: Li, Hongtao, et al.
Published: (2026)

Enhancing Antimicrobial Molecule Prediction via Dynamic Routing Capsule Networks and Multi-Source Molecular Embeddings
by: He, R.
Published: (2025)

SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction
by: Xu, Bohao, et al.
Published: (2024)

3D MR Fingerprinting for Dynamic Contrast-Enhanced Imaging of Whole Mouse Brain
by: Zhu, Yuran, et al.
Published: (2024)

Improving Molecule Generation and Drug Discovery with a Knowledge-enhanced Generative Model
by: Malusare, Aditya, et al.
Published: (2024)

MS-ConTab: Multi-Scale Contrastive Learning of Mutation Signatures for Pan Cancer Representation and Stratification
by: Dou, Yifan, et al.
Published: (2025)

Protein-Mamba: Biological Mamba Models for Protein Function Prediction
by: Xu, Bohao, et al.
Published: (2024)

Explainable Machine Learning and Deep Learning Models for Predicting TAS2R-Bitter Molecule Interactions
by: Ferri, Francesco, et al.
Published: (2024)

FoldSAE: Learning to Steer Protein Folding Through Sparse Representations
by: Zarzecki, Wojciech, et al.
Published: (2025)

In Silico Functional Profiling of Engineered Small Molecules: A Machine Learning Approach Leveraging PubChem Identifiers (CID_SID ML model)
by: Ivanova, Mariya L., et al.
Published: (2025)

drGT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network
by: Inoue, Yoshitaka, et al.
Published: (2024)

Learning Molecular Representation in a Cell
by: Liu, Gang, et al.
Published: (2024)

DiffFit: Visually-Guided Differentiable Fitting of Molecule Structures to a Cryo-EM Map
by: Luo, Deng, et al.
Published: (2024)

A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly
by: Koodli, Rohan V., et al.
Published: (2025)

Prostate-VarBench: A Benchmark with Interpretable TabNet Framework for Prostate Cancer Variant Classification
by: Tavara, Abraham Francisco Arellano, et al.
Published: (2025)

Image-Based Biospeckle Contrast Analysis for Rapid Antimicrobial Susceptibility Testing
by: Gameiro, M. A., et al.
Published: (2025)

Deep Learning for Blood-Brain Barrier Permeability Prediction: From Discriminative Models to Mechanism-Aware Design
by: Yang, Zihan, et al.
Published: (2025)

MM-DADM: Multimodal Drug-Aware Diffusion Model for Virtual Clinical Trials
by: Shao, Qian, et al.
Published: (2025)

MammoDINO: Anatomically Aware Self-Supervision for Mammographic Images
by: Zhou, Sicheng, et al.
Published: (2025)

LINKER: Learning Interactions Between Functional Groups and Residues With Chemical Knowledge-Enhanced Reasoning and Explainability
by: Pham, Phuc, et al.
Published: (2025)

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles
by: Wang, Qing, et al.
Published: (2025)

OralGPT: A Two-Stage Vision-Language Model for Oral Mucosal Disease Diagnosis and Description
by: Zhang, Jia, et al.
Published: (2025)

Group Contrastive Learning for Weakly Paired Multimodal Data
by: Gorla, Aditya, et al.
Published: (2026)

ECKO: Explainable Clinical Knowledge for Oncology
by: Silva, Marta Contreiras, et al.
Published: (2025)

PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking
by: Jiang, Yize, et al.
Published: (2025)

Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
by: Xu, Kaichen, et al.
Published: (2025)

FARM: Enhancing Molecular Representations with Functional Group Awareness
by: Nguyen, Thao, et al.
Published: (2024)

Transfer Learning Bayesian Optimization to Design Competitor DNA Molecules for Use in Diagnostic Assays
by: Sedgwick, Ruby, et al.
Published: (2024)

Hierarchical Contrastive Learning for Multi-Domain Protein-Ligand Binding
by: Zhang, Shuo, et al.
Published: (2026)

Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation
by: Zhang, Yikun, et al.
Published: (2024)

Can Large Language Models Replace Data Scientists in Biomedical Research?
by: Wang, Zifeng, et al.
Published: (2024)

SlideMamba: Entropy-Based Adaptive Fusion of GNN and Mamba for Enhanced Representation Learning in Digital Pathology
by: Khan, Shakib, et al.
Published: (2025)

Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?
by: Zheng, Kangyu, et al.
Published: (2024)

Learning Normal Representations for Blood Biomarkers
by: Shah, Aashna P., et al.
Published: (2026)