Cover Image

GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Heming, Huang, Di, Chen, Yixin, Li, Fuhai
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

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

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

GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration
by: Li, Ziwen, et al.
Published: (2025)

Hyperbolic Graph Diffusion Model
by: Wen, Lingfeng, et al.
Published: (2023)

The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models
by: Cattaneo, Alberto, et al.
Published: (2024)

MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
by: Yu, Zhaoning, et al.
Published: (2024)

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

Self-Supervised Learning on Molecular Graphs: A Systematic Investigation of Masking Design
by: Yang, Jiannan, et al.
Published: (2025)

An Uncertainty-Aware Dynamic Decision Framework for Progressive Multi-Omics Integration in Classification Tasks
by: Mu, Nan, et al.
Published: (2025)

Enabling Down Syndrome Research through a Knowledge Graph-Driven Analytical Framework
by: Krishnamurthy, Madan, et al.
Published: (2025)

PhysioSeq2Seq: A Hybrid Physiological Digital Twin and Sequence-to-Sequence LSTM for Long-Horizon Glucose Forecasting in Type 1 Diabetes
by: Tran, Phat, et al.
Published: (2026)

Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning
by: Li, Yufeng, et al.
Published: (2024)

Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
by: Wu, Lirong, et al.
Published: (2024)

ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models
by: Chen, Zhuo, et al.
Published: (2025)

HGTDR: Advancing Drug Repurposing with Heterogeneous Graph Transformers
by: Gharizadeh, Ali, et al.
Published: (2024)

Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled
by: Liu, Shengchao, et al.
Published: (2024)

G2T-LLM: Graph-to-Tree Text Encoding for Molecule Generation with Fine-Tuned Large Language Models
by: Yu, Zhaoning, et al.
Published: (2024)

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

GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype
by: Chi, Changxi, et al.
Published: (2025)

Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree Distribution
by: Xiong, Jiaqi, et al.
Published: (2024)

NaNa and MiGu: Semantic Data Augmentation Techniques to Enhance Protein Classification in Graph Neural Networks
by: Lan, Yi-Shan, et al.
Published: (2024)

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

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

MRC-GAT: A Meta-Relational Copula-Based Graph Attention Network for Interpretable Multimodal Alzheimer's Disease Diagnosis
by: Khalvandi, Fatemeh, et al.
Published: (2026)

Equivariant Graph Attention Networks with Structural Motifs for Predicting Cell Line-Specific Synergistic Drug Combinations
by: Schwehr, Zachary
Published: (2024)

OmicsCL: Unsupervised Contrastive Learning for Cancer Subtype Discovery and Survival Stratification
by: Karagoz, Atahan
Published: (2025)

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

A Graph-in-Graph Learning Framework for Drug-Target Interaction Prediction
by: Song, Yuehua, et al.
Published: (2025)

UniIF: Unified Molecule Inverse Folding
by: Gao, Zhangyang, et al.
Published: (2024)

Efficient and Robust Continual Graph Learning for Graph Classification in Biology
by: Zhang, Ding, et al.
Published: (2024)

xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein
by: Chen, Bo, et al.
Published: (2024)

From Detection to Mechanism: Cross-Attention Graph Neural Networks Enable Drug-Drug Interaction Type Prediction An Ablation Study with Acetylsalicylic Acid Validation
by: Dietrich, Juergen
Published: (2026)

SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics Data
by: Tao, Liang, et al.
Published: (2024)

SCOPE-DTI: Semi-Inductive Dataset Construction and Framework Optimization for Practical Usability Enhancement in Deep Learning-Based Drug Target Interaction Prediction
by: Chen, Yigang, et al.
Published: (2025)

A Graph Based Raman Spectral Processing Technique for Exosome Classification
by: Ngo, Vuong M., et al.
Published: (2025)

Learning a Patent-Informed Biomedical Knowledge Graph Reveals Technological Potential of Drug Repositioning Candidates
by: Jegal, Yongseung, et al.
Published: (2023)

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

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

TomoGraphView: 3D Medical Image Classification with Omnidirectional Slice Representations and Graph Neural Networks
by: Kiechle, Johannes, et al.
Published: (2025)

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