Buchumschlag

GLaDiGAtor: Language-Model-Augmented Multi-Relation Graph Learning for Predicting Disease-Gene Associations

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Kuzucu, Osman Onur, Doğan, Tunca
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Machine Learning Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

GLaMoR: Consistency Checking of OWL Ontologies using Graph Language Models
von: Mücke, Justin, et al.
Veröffentlicht: (2025)

GLaD: Synergizing Molecular Graphs and Language Descriptors for Enhanced Power Conversion Efficiency Prediction in Organic Photovoltaic Devices
von: Nguyen, Thao, et al.
Veröffentlicht: (2024)

MultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models
von: Sarabadani, Ali, et al.
Veröffentlicht: (2025)

A Multi-Graph Convolutional Neural Network Model for Short-Term Prediction of Turning Movements at Signalized Intersections
von: Palit, Jewel Rana, et al.
Veröffentlicht: (2024)

Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning
von: Urgun, Dogan, et al.
Veröffentlicht: (2026)

Multi-Task Learning with Feature-Similarity Laplacian Graphs for Predicting Alzheimer's Disease Progression
von: Xu, Zixiang, et al.
Veröffentlicht: (2025)

DiLaDiff: Distilled Latent-Augmented Diffusion for Language Modeling
von: Lemercier, Jean-Marie, et al.
Veröffentlicht: (2026)

Graph Diffusion Network for Drug-Gene Prediction
von: Wu, Jiayang, et al.
Veröffentlicht: (2025)

SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq
von: Li, Xiaoyu, et al.
Veröffentlicht: (2024)

Spatially Resolved Gene Expression Prediction from Histology via Multi-view Graph Contrastive Learning with HSIC-bottleneck Regularization
von: Chi, Changxi, et al.
Veröffentlicht: (2024)

Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
von: Sattar, Asma, et al.
Veröffentlicht: (2024)

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

Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation
von: Yan, Yuchen, et al.
Veröffentlicht: (2025)

Synthetic ALS-EEG Data Augmentation for ALS Diagnosis Using Conditional WGAN with Weight Clipping
von: Mutlu, Abdulvahap, et al.
Veröffentlicht: (2025)

IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control
von: Chitnis, Rohan, et al.
Veröffentlicht: (2023)

Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs
von: Feng, Yushi, et al.
Veröffentlicht: (2025)

TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
von: Lee, Geon, et al.
Veröffentlicht: (2025)

Retrieval Augmented Time Series Forecasting
von: Tire, Kutay, et al.
Veröffentlicht: (2024)

Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery
von: Liu, Jin, et al.
Veröffentlicht: (2023)

Adaptive Graph Learning with Transformer for Multi-Reservoir Inflow Prediction
von: Hu, Pengfei, et al.
Veröffentlicht: (2025)

Learning Attention-based Representations from Multiple Patterns for Relation Prediction in Knowledge Graphs
von: Lourenço, Vítor, et al.
Veröffentlicht: (2022)

Rethinking Spatio-Temporal Transformer for Traffic Prediction:Multi-level Multi-view Augmented Learning Framework
von: Lin, Jiaqi, et al.
Veröffentlicht: (2024)

DiRL: An Efficient Post-Training Framework for Diffusion Language Models
von: Zhu, Ying, et al.
Veröffentlicht: (2025)

Learning to Correct: Calibrated Reinforcement Learning for Multi-Attempt Chain-of-Thought
von: Ildiz, Muhammed Emrullah, et al.
Veröffentlicht: (2026)

Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
von: Amin, Md. Tahsin, et al.
Veröffentlicht: (2026)

Multi-Dimensional Behavioral Evaluation of Agentic Stock Prediction Systems Using Large Language Model Judges with Closed-Loop Reinforcement Learning Feedback
von: Ridhawi, Mohammad Al, et al.
Veröffentlicht: (2026)

Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction
von: Li, Xiaodi, et al.
Veröffentlicht: (2024)

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction
von: Vural, Onur, et al.
Veröffentlicht: (2024)

Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases
von: Kocijan, Vid, et al.
Veröffentlicht: (2026)

GraphEdit: Large Language Models for Graph Structure Learning
von: Guo, Zirui, et al.
Veröffentlicht: (2024)

Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease
von: Kim, So Yeon, et al.
Veröffentlicht: (2024)

Learning Multi-Relational Graph Representations for DNA Methylation-Based Biological Age Estimation
von: Qing, Qing, et al.
Veröffentlicht: (2026)

Fairness in Graph Learning Augmented with Machine Learning: A Survey
von: Luo, Renqiang, et al.
Veröffentlicht: (2025)

Retrieval Augmented Generation for Dynamic Graph Modeling
von: Wu, Yuxia, et al.
Veröffentlicht: (2024)

Large Language Models as Model Organisms for Human Associative Learning
von: Kolling, Camila, et al.
Veröffentlicht: (2025)

DynaSearcher: Dynamic Knowledge Graph Augmented Search Agent via Multi-Reward Reinforcement Learning
von: Hao, Chuzhan, et al.
Veröffentlicht: (2025)

Reinforcement Learning-Guided Dynamic Multi-Graph Fusion for Evacuation Traffic Prediction
von: Rafi, Md Nafees Fuad, et al.
Veröffentlicht: (2026)

Refinement Contrastive Learning of Cell-Gene Associations for Unsupervised Cell Type Identification
von: Peng, Liang, et al.
Veröffentlicht: (2025)

Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning
von: Chu, Xu, et al.
Veröffentlicht: (2025)

CGCL: Collaborative Graph Contrastive Learning without Handcrafted Graph Data Augmentations
von: Zhang, Tianyu, et al.
Veröffentlicht: (2021)