Image de couverture de livre

Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Zeyu, Jiang, Tianyi, Lu, Yao, Bao, Xiaoze, Yu, Shanqing, Wei, Bin, Xuan, Qi
Format:	Preprint
Publié:	2024
Sujets:	Quantitative Methods Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Few-shot Molecular Property Prediction: A Survey
par: Wang, Zeyu, et autres
Publié: (2025)

Multi-scale Graph Autoregressive Modeling: Molecular Property Prediction via Next Token Prediction
par: Jiang, Zhuoyang, et autres
Publié: (2026)

Graph Residual based Method for Molecular Property Prediction
par: Sen, Kanad, et autres
Publié: (2024)

XIMP: Cross Graph Inter-Message Passing for Molecular Property Prediction
par: Ehrlich, Anatol, et autres
Publié: (2026)

Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
par: Li, Xuan, et autres
Publié: (2023)

Few-shot genes selection: subset of PAM50 genes for breast cancer subtypes classification
par: Okimoto, Leandro Y. S., et autres
Publié: (2024)

KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Prediction
par: Li, Longlong, et autres
Publié: (2024)

FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification
par: Guo, Zhengrui, et autres
Publié: (2024)

Large-Scale Knowledge Integration for Enhanced Molecular Property Prediction
par: Ghunaim, Yasir, et autres
Publié: (2024)

Co-Evolution-Based Metal-Binding Residue Prediction with Graph Neural Networks
par: Rastegari, Sayedmohammadreza, et autres
Publié: (2025)

RNA-KG v2.0: An RNA-centered Knowledge Graph with Properties
par: Cavalleri, Emanuele, et autres
Publié: (2025)

Graph-Theoretic Models for the Prediction of Molecular Measurements
par: Niane, Anna, et autres
Publié: (2026)

Dual-Modality Representation Learning for Molecular Property Prediction
par: Zhao, Anyin, et autres
Publié: (2025)

Learning collective multi-cellular dynamics from temporal scRNA-seq via a transformer-enhanced Neural SDE
par: Jiang, Qi, et autres
Publié: (2025)

A Joint Survival Modeling and Therapy Knowledge Graph Framework to Characterize Opioid Use Disorder Trajectories
par: Wei, Mengman, et autres
Publié: (2026)

The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning
par: Boyne, Toby, et autres
Publié: (2025)

Generating Molecular Fragmentation Graphs with Autoregressive Neural Networks
par: Goldman, Samuel, et autres
Publié: (2023)

GTR-CoT: Graph Traversal as Visual Chain of Thought for Molecular Structure Recognition
par: Wang, Jingchao, et autres
Publié: (2025)

ReCoG: Relational and Compact Context Graph Learning for Few-shot Molecular Property Prediction
par: Wang, Zeyu, et autres
Publié: (2026)

Chem-GMNet: A Sphere-Native Geometric Transformer for Molecular Property Prediction
par: Warrier, Deepak, et autres
Publié: (2026)

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks
par: Xie, HongXin, et autres
Publié: (2025)

Motif-aware Attribute Masking for Molecular Graph Pre-training
par: Inae, Eric, et autres
Publié: (2023)

Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
par: Lu, Jiarui, et autres
Publié: (2023)

HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction
par: Liu, Bin, et autres
Publié: (2024)

Module control in youth symptom networks across COVID-19
par: Fan, Tianyi, et autres
Publié: (2026)

Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task
par: Jian, Yiren, et autres
Publié: (2023)

Dual-Pathway Fusion of EHRs and Knowledge Graphs for Predicting Unseen Drug-Drug Interactions
par: Lee, Franklin, et autres
Publié: (2025)

Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data
par: Hayes, Nicole, et autres
Publié: (2024)

Aligned Manifold Property and Topology Point Clouds for Learning Molecular Properties
par: Mihalcea, Alexander
Publié: (2025)

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

Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers
par: Chen, Xuexin, et autres
Publié: (2025)

Leveraging Transformer Models to Capture Multi-Scale Dynamics in Biomolecules by nano-GPT
par: Zeng, Wenqi, et autres
Publié: (2025)

A Regressor-Guided Graph Diffusion Model for Predicting Enzyme Mutations to Enhance Turnover Number
par: Yu, Xiaozhu, et autres
Publié: (2024)

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

Enhancing TCR-Peptide Interaction Prediction with Pretrained Language Models and Molecular Representations
par: Qi, Cong, et autres
Publié: (2025)

Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification
par: Adamczyk, Jakub, et autres
Publié: (2024)

MDAgent: A Multi-Agent Framework for End-to-End Molecular Dynamics Research
par: Ma, Zhenyu, et autres
Publié: (2026)

RNA-Protein Interaction Prediction Based on Deep Learning: A Comprehensive Survey
par: Li, Danyu, et autres
Publié: (2024)

Topology-Aware Multiscale Mixture of Experts for Efficient Molecular Property Prediction
par: Nguyen, Long D., et autres
Publié: (2026)

CAP: Commutative Algebra Prediction of Protein-Nucleic Acid Binding Affinities
par: Zia, Mushal, et autres
Publié: (2025)