Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Kexin, Huang, Feng, Liu, Luotao, Xiong, Zhankun, Zhang, Hongyu, Quan, Yuan, Zhang, Wen |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Attention-Driven Metapath Encoding in Heterogeneous Graphs
by: Katyal, Calder
Published: (2024)
by: Katyal, Calder
Published: (2024)
ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment
by: Wang, Ziyan, et al.
Published: (2024)
by: Wang, Ziyan, et al.
Published: (2024)
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
by: Cai, Xinjun, et al.
Published: (2021)
by: Cai, Xinjun, et al.
Published: (2021)
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
by: Wang, Yongkang, et al.
Published: (2023)
by: Wang, Yongkang, et al.
Published: (2023)
Comprehensive Metapath-based Heterogeneous Graph Transformer for Gene-Disease Association Prediction
by: Cui, Wentao, et al.
Published: (2025)
by: Cui, Wentao, et al.
Published: (2025)
Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding
by: Park, Jongmin, et al.
Published: (2025)
by: Park, Jongmin, et al.
Published: (2025)
CSGDN: Contrastive Signed Graph Diffusion Network for Predicting Crop Gene-phenotype Associations
by: Pan, Yiru, et al.
Published: (2024)
by: Pan, Yiru, et al.
Published: (2024)
Label-based Graph Augmentation with Metapath for Graph Anomaly Detection
by: Kim, Hwan, et al.
Published: (2023)
by: Kim, Hwan, et al.
Published: (2023)
Causal Heterogeneous Graph Learning Method for Chronic Obstructive Pulmonary Disease Prediction
by: Zhou, Leming, et al.
Published: (2025)
by: Zhou, Leming, et al.
Published: (2025)
NoiseHGNN: Synthesized Similarity Graph-Based Neural Network For Noised Heterogeneous Graph Representation Learning
by: Zhang, Xiong, et al.
Published: (2024)
by: Zhang, Xiong, et al.
Published: (2024)
Exploring Topological Bias in Heterogeneous Graph Neural Networks
by: Zhang, Yihan
Published: (2025)
by: Zhang, Yihan
Published: (2025)
CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks
by: Zhang, Shengming, et al.
Published: (2025)
by: Zhang, Shengming, et al.
Published: (2025)
Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks
by: Wei, Jianjun, et al.
Published: (2024)
by: Wei, Jianjun, et al.
Published: (2024)
Causal Graph Neural Networks for Wildfire Danger Prediction
by: Zhao, Shan, et al.
Published: (2024)
by: Zhao, Shan, et al.
Published: (2024)
Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks
by: Zhang, Xiaochen, et al.
Published: (2021)
by: Zhang, Xiaochen, et al.
Published: (2021)
Generative-Contrastive Heterogeneous Graph Neural Network
by: Wang, Yu, et al.
Published: (2024)
by: Wang, Yu, et al.
Published: (2024)
HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks
by: Zhu, Guanghui, et al.
Published: (2023)
by: Zhu, Guanghui, et al.
Published: (2023)
Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks
by: Zhang, Canlin, et al.
Published: (2023)
by: Zhang, Canlin, et al.
Published: (2023)
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
by: Jiang, Wenzhao, et al.
Published: (2023)
by: Jiang, Wenzhao, et al.
Published: (2023)
Similarity-Navigated Conformal Prediction for Graph Neural Networks
by: Song, Jianqing, et al.
Published: (2024)
by: Song, Jianqing, et al.
Published: (2024)
Learning to Count Isomorphisms with Graph Neural Networks
by: Yu, Xingtong, et al.
Published: (2023)
by: Yu, Xingtong, et al.
Published: (2023)
Are Heterogeneous Graph Neural Networks Truly Effective? A Causal Perspective
by: Yang, Xiao, et al.
Published: (2025)
by: Yang, Xiao, et al.
Published: (2025)
Refined Edge Usage of Graph Neural Networks for Edge Prediction
by: Jin, Jiarui, et al.
Published: (2022)
by: Jin, Jiarui, et al.
Published: (2022)
Physics-Informed Neural Networks and Neural Operators for Parametric PDEs
by: Zhang, Zhuo, et al.
Published: (2025)
by: Zhang, Zhuo, et al.
Published: (2025)
Structural Properties, Cycloid Trajectories and Non-Asymptotic Guarantees of EM Algorithm for Mixed Linear Regression
by: Luo, Zhankun, et al.
Published: (2025)
by: Luo, Zhankun, et al.
Published: (2025)
Characterizing Evolution in Expectation-Maximization Estimates for Overspecified Mixed Linear Regression
by: Luo, Zhankun, et al.
Published: (2025)
by: Luo, Zhankun, et al.
Published: (2025)
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction
by: Zhang, Yang, et al.
Published: (2023)
by: Zhang, Yang, et al.
Published: (2023)
Integrating Causal Inference with Graph Neural Networks for Alzheimer's Disease Analysis
by: Peddi, Pranay Kumar, et al.
Published: (2025)
by: Peddi, Pranay Kumar, et al.
Published: (2025)
PhenoLinker: Phenotype-Gene Link Prediction and Explanation using Heterogeneous Graph Neural Networks
by: Andreu, Jose L. Mellina, et al.
Published: (2024)
by: Andreu, Jose L. Mellina, et al.
Published: (2024)
Prediction of Bank Credit Ratings using Heterogeneous Topological Graph Neural Networks
by: Liu, Junyi, et al.
Published: (2025)
by: Liu, Junyi, et al.
Published: (2025)
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation
by: Zhang, Zhaoyang, et al.
Published: (2024)
by: Zhang, Zhaoyang, et al.
Published: (2024)
DSGNN: A Dual-View Supergrid-Aware Graph Neural Network for Regional Air Quality Estimation
by: Zhang, Xin, et al.
Published: (2024)
by: Zhang, Xin, et al.
Published: (2024)
GraphNarrator: Generating Textual Explanations for Graph Neural Networks
by: Pan, Bo, et al.
Published: (2024)
by: Pan, Bo, et al.
Published: (2024)
Causal Adjacency Learning for Spatiotemporal Prediction Over Graphs
by: Mo, Zhaobin, et al.
Published: (2024)
by: Mo, Zhaobin, et al.
Published: (2024)
Heterophilic Graph Neural Networks Optimization with Causal Message-passing
by: Wang, Botao, et al.
Published: (2024)
by: Wang, Botao, et al.
Published: (2024)
Coefficient Decomposition for Spectral Graph Convolution
by: Huang, Feng, et al.
Published: (2024)
by: Huang, Feng, et al.
Published: (2024)
MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction
by: Wu, Mei, et al.
Published: (2025)
by: Wu, Mei, et al.
Published: (2025)
Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining
by: You, Yuxin, et al.
Published: (2024)
by: You, Yuxin, et al.
Published: (2024)
Time-aware Metapath Feature Augmentation for Ponzi Detection in Ethereum
by: Jin, Chengxiang, et al.
Published: (2022)
by: Jin, Chengxiang, et al.
Published: (2022)
Causal Inference, Biomarker Discovery, Graph Neural Network, Feature Selection
by: Lan, Chaowang, et al.
Published: (2025)
by: Lan, Chaowang, et al.
Published: (2025)
Similar Items
-
Attention-Driven Metapath Encoding in Heterogeneous Graphs
by: Katyal, Calder
Published: (2024) -
ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment
by: Wang, Ziyan, et al.
Published: (2024) -
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
by: Cai, Xinjun, et al.
Published: (2021) -
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
by: Wang, Yongkang, et al.
Published: (2023) -
Comprehensive Metapath-based Heterogeneous Graph Transformer for Gene-Disease Association Prediction
by: Cui, Wentao, et al.
Published: (2025)