Improving Disease Comorbidity Prediction Based on Human Interactome with Biologically Supervised Graph Embedding
Fuente:
arXiv
Guardado en:
| Autores principales: | Qin, Xihan, Liao, Li |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Graph Transformer with Disease Subgraph Positional Encoding for Improved Comorbidity Prediction
por: Qin, Xihan, et al.
Publicado: (2025)
por: Qin, Xihan, et al.
Publicado: (2025)
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python
por: Qin, Xihan, et al.
Publicado: (2024)
por: Qin, Xihan, et al.
Publicado: (2024)
Self-Supervised Graph Embedding Clustering
por: Li, Fangfang, et al.
Publicado: (2024)
por: Li, Fangfang, et al.
Publicado: (2024)
Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease
por: Kim, So Yeon, et al.
Publicado: (2024)
por: Kim, So Yeon, et al.
Publicado: (2024)
A Conjoint Graph Representation Learning Framework for Hypertension Comorbidity Risk Prediction
por: Zhou, Leming, et al.
Publicado: (2025)
por: Zhou, Leming, et al.
Publicado: (2025)
Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify the Uncertainty of Remote Sensing Retrieval
por: Fan, Dasheng, et al.
Publicado: (2024)
por: Fan, Dasheng, et al.
Publicado: (2024)
Negative-Free Self-Supervised Gaussian Embedding of Graphs
por: Liu, Yunhui, et al.
Publicado: (2024)
por: Liu, Yunhui, et al.
Publicado: (2024)
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
por: Skenderi, Geri, et al.
Publicado: (2023)
por: Skenderi, Geri, et al.
Publicado: (2023)
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations
por: Lux, Laurin, et al.
Publicado: (2025)
por: Lux, Laurin, et al.
Publicado: (2025)
GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction
por: Wang, Haowen, et al.
Publicado: (2024)
por: Wang, Haowen, et al.
Publicado: (2024)
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks using Encoder Embedding and Vertex Dynamics
por: Shen, Cencheng, et al.
Publicado: (2023)
por: Shen, Cencheng, et al.
Publicado: (2023)
Augmenting Biological Fitness Prediction Benchmarks with Landscapes Features from GraphFLA
por: Huang, Mingyu, et al.
Publicado: (2025)
por: Huang, Mingyu, et al.
Publicado: (2025)
Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning
por: Srinivasan, Srinitish, et al.
Publicado: (2025)
por: Srinivasan, Srinitish, et al.
Publicado: (2025)
Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning
por: Xie, Shifeng, et al.
Publicado: (2025)
por: Xie, Shifeng, et al.
Publicado: (2025)
Improving Knowledge Graph Embeddings through Contrastive Learning with Negative Statements
por: Sousa, Rita T., et al.
Publicado: (2025)
por: Sousa, Rita T., et al.
Publicado: (2025)
Improving Continual Learning of Knowledge Graph Embeddings via Informed Initialization
por: Pons, Gerard, et al.
Publicado: (2025)
por: Pons, Gerard, et al.
Publicado: (2025)
Graph Neural Networks Powered by Encoder Embedding for Improved Node Learning
por: Chen, Shiyu, et al.
Publicado: (2025)
por: Chen, Shiyu, et al.
Publicado: (2025)
Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction
por: Wu, Jiele, et al.
Publicado: (2026)
por: Wu, Jiele, et al.
Publicado: (2026)
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation
por: Qin, Meng, et al.
Publicado: (2025)
por: Qin, Meng, et al.
Publicado: (2025)
X2Graph for Cancer Subtyping Prediction on Biological Tabular Data
por: Bui, Tu, et al.
Publicado: (2025)
por: Bui, Tu, et al.
Publicado: (2025)
Pretraining Transformer-Based Models on Diffusion-Generated Synthetic Graphs for Alzheimer's Disease Prediction
por: Moslemi, Abolfazl, et al.
Publicado: (2025)
por: Moslemi, Abolfazl, et al.
Publicado: (2025)
Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations
por: Qin, Tiexin, et al.
Publicado: (2023)
por: Qin, Tiexin, et al.
Publicado: (2023)
Self-Supervised Graph Representation Learning via Global Context Prediction
por: Peng, Zhen, et al.
Publicado: (2020)
por: Peng, Zhen, et al.
Publicado: (2020)
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
por: Krzakala, Paul, et al.
Publicado: (2024)
por: Krzakala, Paul, et al.
Publicado: (2024)
A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association Prediction
por: Canastra, Catarina, et al.
Publicado: (2025)
por: Canastra, Catarina, et al.
Publicado: (2025)
Improving Graph Property Prediction with Generalized Readout Functions
por: Alcaide, Eric
Publicado: (2020)
por: Alcaide, Eric
Publicado: (2020)
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition
por: Jung, Heesoo, et al.
Publicado: (2025)
por: Jung, Heesoo, et al.
Publicado: (2025)
On the Importance of Embedding Norms in Self-Supervised Learning
por: Draganov, Andrew, et al.
Publicado: (2025)
por: Draganov, Andrew, et al.
Publicado: (2025)
Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method
por: Li, Jiate, et al.
Publicado: (2024)
por: Li, Jiate, et al.
Publicado: (2024)
A Human-Centered Approach for Improving Supervised Learning
por: Bansal, Shubhi, et al.
Publicado: (2024)
por: Bansal, Shubhi, et al.
Publicado: (2024)
Privacy-Preserving Graph Embedding based on Local Differential Privacy
por: Li, Zening, et al.
Publicado: (2023)
por: Li, Zening, et al.
Publicado: (2023)
Trajectory Prediction for Autonomous Driving using Agent-Interaction Graph Embedding
por: Samiuddin, Jilan, et al.
Publicado: (2024)
por: Samiuddin, Jilan, et al.
Publicado: (2024)
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction
por: Kim, Minsang, et al.
Publicado: (2024)
por: Kim, Minsang, et al.
Publicado: (2024)
Predictive Process Monitoring Using Object-centric Graph Embeddings
por: Gherissi, Wissam, et al.
Publicado: (2025)
por: Gherissi, Wissam, et al.
Publicado: (2025)
Temporal Link Prediction Using Graph Embedding Dynamics
por: Fard, Sanaz Hasanzadeh, et al.
Publicado: (2024)
por: Fard, Sanaz Hasanzadeh, et al.
Publicado: (2024)
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding
por: Hu, Bozhen, et al.
Publicado: (2024)
por: Hu, Bozhen, et al.
Publicado: (2024)
Model-Change Active Learning in Graph-Based Semi-Supervised Learning
por: Miller, Kevin, et al.
Publicado: (2021)
por: Miller, Kevin, et al.
Publicado: (2021)
Adaptive Fuzzy C-Means with Graph Embedding
por: Chen, Qiang, et al.
Publicado: (2024)
por: Chen, Qiang, et al.
Publicado: (2024)
Gaussian Joint Embeddings For Self-Supervised Representation Learning
por: Huang, Yongchao
Publicado: (2026)
por: Huang, Yongchao
Publicado: (2026)
Gaussian Joint Embeddings For Self-Supervised Representation Learning
por: Huang, Yongchao
Publicado: (2026)
por: Huang, Yongchao
Publicado: (2026)
Ejemplares similares
-
Graph Transformer with Disease Subgraph Positional Encoding for Improved Comorbidity Prediction
por: Qin, Xihan, et al.
Publicado: (2025) -
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python
por: Qin, Xihan, et al.
Publicado: (2024) -
Self-Supervised Graph Embedding Clustering
por: Li, Fangfang, et al.
Publicado: (2024) -
Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease
por: Kim, So Yeon, et al.
Publicado: (2024) -
A Conjoint Graph Representation Learning Framework for Hypertension Comorbidity Risk Prediction
por: Zhou, Leming, et al.
Publicado: (2025)