Copertina

RAG-GNN: Integrating Retrieved Knowledge with Graph Neural Networks for Precision Medicine

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Hays, Hasi, Richardson, William J.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Molecular Networks Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Hierarchical Molecular Language Models (HMLMs)
di: Hays, Hasi, et al.
Pubblicazione: (2025)

Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks - the GATTACA Framework
di: Mizera, Andrzej, et al.
Pubblicazione: (2025)

ResMGCN: Residual Message Graph Convolution Network for Fast Biomedical Interactions Discovering
di: Yin, Zecheng
Pubblicazione: (2023)

Towards Interpretable Drug-Drug Interaction Prediction: A Graph-Based Approach with Molecular and Network-Level Explanations
di: Chen, Mengjie, et al.
Pubblicazione: (2025)

ECMSim: A high-performance interactive web application for real-time spatiotemporal simulation of cardiac ECM signaling and diffusion
di: Hays, Hasi, et al.
Pubblicazione: (2025)

LLaMo: Large Language Model-based Molecular Graph Assistant
di: Park, Jinyoung, et al.
Pubblicazione: (2024)

Adaptive Data-Knowledge Alignment in Genetic Perturbation Prediction
di: Xiang, Yuanfang, et al.
Pubblicazione: (2025)

Investigating Knowledge Distillation Through Neural Networks for Protein Binding Affinity Prediction
di: Abbasi, Wajid Arshad, et al.
Pubblicazione: (2026)

Graph neural network explanations reveal a topological signature of disease-associated hubs in biological networks
di: Higgins, Kyle, et al.
Pubblicazione: (2026)

Resonant Sparse Geometry Networks
di: Hays, Hasi
Pubblicazione: (2026)

PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs
di: Zheng, Xinzhe, et al.
Pubblicazione: (2025)

Attention mechanisms in neural networks
di: Hays, Hasi
Pubblicazione: (2026)

HiRes: Inspectable Precedent Memory for Reaction Condition Recommendation
di: Sathyanarayana, Shreyas Vinaya, et al.
Pubblicazione: (2026)

Bidirectional Hierarchical Protein Multi-Modal Representation Learning
di: Liu, Xuefeng, et al.
Pubblicazione: (2025)

Learning to Align Molecules and Proteins: A Geometry-Aware Approach to Binding Affinity
di: Refahi, Mohammadsaleh, et al.
Pubblicazione: (2025)

Regressor-free Molecule Generation to Support Drug Response Prediction
di: Li, Kun, et al.
Pubblicazione: (2024)

HODDI: A Dataset of High-Order Drug-Drug Interactions for Computational Pharmacovigilance
di: Wang, Zhaoying, et al.
Pubblicazione: (2025)

Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models
di: Ai, Lun, et al.
Pubblicazione: (2024)

Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
di: Wang, Liang, et al.
Pubblicazione: (2024)

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

Pesti-Gen: Unleashing a Generative Molecule Approach for Toxicity Aware Pesticide Design
di: Kim, Taehan, et al.
Pubblicazione: (2025)

CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
di: Wasi, Azmine Toushik, et al.
Pubblicazione: (2024)

A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications
di: Borzone, Eugenio, et al.
Pubblicazione: (2025)

Selective Synchronization Attention
di: Hays, Hasi
Pubblicazione: (2026)

Modelling Chemical Reaction Networks using Neural Ordinary Differential Equations
di: Thöni, Anna C. M., et al.
Pubblicazione: (2025)

PACER: Acyclic Causal Discovery from Large-Scale Interventional Data
di: Torné, Ramon Viñas, et al.
Pubblicazione: (2026)

Deep Reinforcement Learning for Controlled Traversing of the Attractor Landscape of Boolean Models in the Context of Cellular Reprogramming
di: Mizera, Andrzej, et al.
Pubblicazione: (2024)

Active learning of digenic functions with boolean matrix logic programming
di: Ai, Lun, et al.
Pubblicazione: (2024)

GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
di: Mavromatis, Costas, et al.
Pubblicazione: (2024)

GIP-RAG: An Evidence-Grounded Retrieval-Augmented Framework for Interpretable Gene Interaction and Pathway Impact Analysis
di: Jia, Fujian, et al.
Pubblicazione: (2026)

GenAI-Net: A Generative AI Framework for Automated Biomolecular Network Design
di: Filo, Maurice, et al.
Pubblicazione: (2026)

Biological Pathway Informed Models with Graph Attention Networks (GATs)
di: Wong, Gavin, et al.
Pubblicazione: (2025)

Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease
di: de Lope, Elisa Gómez, et al.
Pubblicazione: (2024)

Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design
di: Xu, Ziyu, et al.
Pubblicazione: (2026)

Benchmarking Constraint-Based Bayesian Structure Learning Algorithms: Role of Network Topology
di: Nagarajan, Radha, et al.
Pubblicazione: (2025)

Inference of dynamical gene regulatory networks from single-cell data with physics informed neural networks
di: Mircea, Maria, et al.
Pubblicazione: (2024)

In silico study on the cytotoxicity against Hela cancer cells of xanthones bioactive compounds from Garcinia cowa: QSAR based on Graph Deep Learning, Network Pharmacology, and Molecular Docking
di: Son, Nguyen Manh, et al.
Pubblicazione: (2025)

Spectral Manifold Harmonization for Graph Imbalanced Regression
di: Nogueira, Brenda, et al.
Pubblicazione: (2025)

Biological Regulatory Network Inference through Circular Causal Structure Learning
di: Jiang, Hongyang, et al.
Pubblicazione: (2025)

LiGNN: Graph Neural Networks at LinkedIn
di: Borisyuk, Fedor, et al.
Pubblicazione: (2024)