Cover Image

Adapting Differential Molecular Representation with Hierarchical Prompts for Multi-label Property Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kang, Linjia, Zhou, Songhua, Fang, Shuyan, Liu, Shichao
Format:	Preprint
Published:	2024
Subjects:	Quantitative Methods Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction
by: Wu, Jiele, et al.
Published: (2026)

Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
by: Wu, Lirong, et al.
Published: (2024)

Topology-Aware Multiscale Mixture of Experts for Efficient Molecular Property Prediction
by: Nguyen, Long D., et al.
Published: (2026)

CaliciBoost: Performance-Driven Evaluation of Molecular Representations for Caco-2 Permeability Prediction
by: Van Le, Huong, et al.
Published: (2025)

Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction
by: Wang, Zeyu, et al.
Published: (2024)

LAMP-PRo: Label-aware Attention for Multi-label Prediction of DNA- and RNA-binding Proteins using Protein Language Models
by: Ghosh, Nimisha, et al.
Published: (2025)

A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era
by: Li, Zongru, et al.
Published: (2026)

Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation
by: Li, Zhengyi, et al.
Published: (2024)

HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling
by: Shao, Zihang, et al.
Published: (2025)

CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening
by: Zhou, Gen, et al.
Published: (2025)

PGCLODA: Prompt-Guided Graph Contrastive Learning for Oligopeptide-Infectious Disease Association Prediction
by: Tan, Dayu, et al.
Published: (2025)

Distilling and Adapting: A Topology-Aware Framework for Zero-Shot Interaction Prediction in Multiplex Biological Networks
by: Deng, Alana, et al.
Published: (2026)

Dual-Modality Representation Learning for Molecular Property Prediction
by: Zhao, Anyin, et al.
Published: (2025)

CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations
by: Chen, Yili, et al.
Published: (2023)

Autoregressive Enzyme Function Prediction with Multi-scale Multi-modality Fusion
by: Rong, Dingyi, et al.
Published: (2024)

Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction
by: Mojarrad, Fatemeh Nassajian, et al.
Published: (2024)

MAMMAL -- Molecular Aligned Multi-Modal Architecture and Language
by: Shoshan, Yoel, et al.
Published: (2024)

MolTC: Towards Molecular Relational Modeling In Language Models
by: Fang, Junfeng, et al.
Published: (2024)

Climbing the label tree: Hierarchy-preserving contrastive learning for medical imaging
by: Khan, Alif Elham
Published: (2025)

A Novel Framework for Multi-Modal Protein Representation Learning
by: Zheng, Runjie, et al.
Published: (2025)

Multi-Peptide: Multimodality Leveraged Language-Graph Learning of Peptide Properties
by: Badrinarayanan, Srivathsan, et al.
Published: (2024)

Pseudodata-guided Invariant Representation Learning Boosts the Out-of-Distribution Generalization in Enzymatic Kinetic Parameter Prediction
by: Wu, Haomin, et al.
Published: (2026)

FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models
by: Liu, Xuan, et al.
Published: (2025)

PA-MIL: Phenotype-Aware Multiple Instance Learning Guided by Language Prompting and Genotype-to-Phenotype Relationships
by: Yang, Zekang, et al.
Published: (2026)

Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation
by: An, Junyi, et al.
Published: (2026)

RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation
by: Qu, Jingxiang, et al.
Published: (2025)

MAT-MPNN: A Mobility-Aware Transformer-MPNN Model for Dynamic Spatiotemporal Prediction of HIV Diagnoses in California, Florida, and New England
by: Wang, Zhaoxuan, et al.
Published: (2025)

Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
by: Xu, Junjie, et al.
Published: (2024)

scpFormer: A Foundation Model for Unified Representation and Integration of the Single-Cell Proteomics
by: Zhou, Qifeng, et al.
Published: (2026)

Prompting Decision Transformers for Zero-Shot Reach-Avoid Policies
by: Li, Kevin, et al.
Published: (2025)

A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics
by: Liu, Shengchao, et al.
Published: (2024)

Unveiling Molecular Moieties through Hierarchical Grad-CAM Graph Explainability
by: Contino, Salvatore, et al.
Published: (2024)

A Multimodal Foundation Model to Enhance Generalizability and Data Efficiency for Pan-cancer Prognosis Prediction
by: Zhou, Huajun, et al.
Published: (2025)

VQSynery: Robust Drug Synergy Prediction With Vector Quantization Mechanism
by: Wu, Jiawei, et al.
Published: (2024)

DeepFM-Crispr: Prediction of CRISPR On-Target Effects via Deep Learning
by: Bao, Condy, et al.
Published: (2024)

A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictions
by: Liu, Pengfei, et al.
Published: (2024)

HyboWaveNet: Hyperbolic Graph Neural Networks with Multi-Scale Wavelet Transform for Protein-Protein Interaction Prediction
by: Yu, Qingzhi, et al.
Published: (2025)

Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories
by: Yang, Yixuan, et al.
Published: (2026)

scDrugMap: Benchmarking Large Foundation Models for Drug Response Prediction
by: Wang, Qing, et al.
Published: (2025)

MEXA-CTP: Mode Experts Cross-Attention for Clinical Trial Outcome Prediction
by: Zhang, Yiqing, et al.
Published: (2025)