Imagen de Portada

A deep graph model for the signed interaction prediction in biological network

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Jin, Shuyi, Zhang, Mengji, Wang, Meijie, Yu, Lun
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Molecular Networks
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

RGDA-DDI: Residual graph attention network and dual-attention based framework for drug-drug interaction prediction
por: Zhou, Changjian, et al.
Publicado: (2024)

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

A scalable gene network model of regulatory dynamics in single cells
por: Bertin, Paul, et al.
Publicado: (2025)

Traditional machine learning vs. deep learning from dynamic graph representations of proteins' 3D folds in the task of protein structure classification
por: Wells, Aydin, et al.
Publicado: (2026)

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

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

Evaluation of network-guided random forest for disease gene discovery
por: Hu, Jianchang, et al.
Publicado: (2023)

Tracking large chemical reaction networks and rare events by neural networks
por: Weng, Jiayu, et al.
Publicado: (2025)

PLANET v2.0: A comprehensive Protein-Ligand Affinity Prediction Model Based on Mixture Density Network
por: Gao, Haotian, et al.
Publicado: (2026)

ProtoMol: Enhancing Molecular Property Prediction via Prototype-Guided Multimodal Learning
por: Wang, Yingxu, et al.
Publicado: (2025)

ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction
por: Jin, Mingyu, et al.
Publicado: (2024)

Data-Efficient Molecular Generation with Hierarchical Textual Inversion
por: Kim, Seojin, et al.
Publicado: (2024)

Information-Theoretic Requirements for Gradient-Based Task Affinity Estimation in Multi-Task Learning
por: Zhang, Jasper, et al.
Publicado: (2026)

Can artificial intelligence predict clinical trial outcomes?
por: Jin, Shuyi, et al.
Publicado: (2024)

Optimal transport distances for directed, weighted graphs: a case study with cell-cell communication networks
por: Nagai, James S., et al.
Publicado: (2023)

Latent Causal Diffusions for Single-Cell Perturbation Modeling
por: Lorch, Lars, et al.
Publicado: (2026)

Doloris: Dual Conditional Diffusion Implicit Bridges with Sparsity Masking Strategy for Unpaired Single-Cell Perturbation Estimation
por: Chi, Changxi, et al.
Publicado: (2025)

A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways
por: Bardozzo, Francesco, et al.
Publicado: (2020)

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

A Multimodal Human Protein Embeddings Database: DeepDrug Protein Embeddings Bank (DPEB)
por: Sajol, Md Saiful Islam, et al.
Publicado: (2025)

The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
por: Chevalley, Mathieu, et al.
Publicado: (2023)

When Does Context Help? A Systematic Study of Target-Conditional Molecular Property Prediction
por: Cheng, Bryan, et al.
Publicado: (2026)

Gene regulatory network inference algorithm based on spectral signed directed graph convolution
por: Xi, Rijie, et al.
Publicado: (2025)

A novel model class for bowtie biological networks with universal classification properties
por: Johnson, Charles A., et al.
Publicado: (2025)

Adjoint Sensitivity Analysis on Multi-Scale Bioprocess Stochastic Reaction Network
por: Choy, Keilung, et al.
Publicado: (2024)

Predicting O-GlcNAcylation Sites in Mammalian Proteins with Transformers and RNNs Trained with a New Loss Function
por: Seber, Pedro
Publicado: (2024)

From Regression to Classification: Exploring the Benefits of Categorical Representations of Energy in MLIPs
por: Ali, Ahmad
Publicado: (2025)

The Signed Two-Space Proximity Model for Learning Representations in Protein-Protein Interaction Networks
por: Nakis, Nikolaos, et al.
Publicado: (2025)

TwinPurify: Purifying gene expression data to reveal tumor-intrinsic transcriptional programs via self-supervised learning
por: Zheng, Zhiwei, et al.
Publicado: (2026)

Machine Learning Methods for Gene Regulatory Network Inference
por: Hegde, Akshata, et al.
Publicado: (2025)

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
por: Son, Nguyen Manh, et al.
Publicado: (2025)

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

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

Quantifying Ranking Instability Across Evaluation Protocol Axes in Gene Regulatory Network Benchmarking
por: Kendiukhov, Ihor
Publicado: (2026)

Practical Causal Evaluation Metrics for Biological Networks
por: Sato, Noriaki, et al.
Publicado: (2025)

Quantum Approximate Optimization Algorithm for Spatiotemporal Forecasting of HIV Clusters
por: Roosan, Don, et al.
Publicado: (2025)

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

Complex Networks and the Drug Repositioning Problem
por: Haiek, Felipe Bivort
Publicado: (2026)

Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry
por: Wang, Zeyu, et al.
Publicado: (2024)

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