Cover Image

Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Xuexin, Cai, Ruichu, Huang, Zhengting, Li, Zijian, Zheng, Jie, Wu, Min
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SpikGPT: A High-Accuracy and Interpretable Spiking Attention Framework for Single-Cell Annotation
by: Huang, Min, et al.
Published: (2025)

DNA Language Model and Interpretable Graph Neural Network Identify Genes and Pathways Involved in Rare Diseases
by: Saadat, Ali, et al.
Published: (2024)

Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses
by: Feng, Tianshu, et al.
Published: (2024)

GraphAge: Unleashing the power of Graph Neural Network to Decode Epigenetic Aging
by: Ahmed, Saleh Sakib, et al.
Published: (2024)

Generating Molecular Fragmentation Graphs with Autoregressive Neural Networks
by: Goldman, Samuel, et al.
Published: (2023)

Rank Ordering of Species Sensitivities to Chemicals: Discrepancies between Behavioral and Lethal Responses in Freshwater and Marine Invertebrates
by: Mocq, Julien, et al.
Published: (2025)

Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks
by: KC, Kishan, et al.
Published: (2022)

KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Prediction
by: Li, Longlong, et al.
Published: (2024)

Survival Prediction Across Diverse Cancer Types Using Neural Networks
by: Yan, Xu, et al.
Published: (2024)

Multi-scale Graph Autoregressive Modeling: Molecular Property Prediction via Next Token Prediction
by: Jiang, Zhuoyang, et al.
Published: (2026)

Beyond Black Boxes: Enhancing Interpretability of Transformers Trained on Neural Data
by: Freeman, Laurence, et al.
Published: (2025)

Causal Inference, Biomarker Discovery, Graph Neural Network, Feature Selection
by: Lan, Chaowang, et al.
Published: (2025)

DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm
by: Schwarz, Kyriakos, et al.
Published: (2022)

ProtBoost: protein function prediction with Py-Boost and Graph Neural Networks -- CAFA5 top2 solution
by: Chervov, Alexander, et al.
Published: (2024)

EHCube4P: Learning Epistatic Patterns Through Hypercube Graph Convolution Neural Network for Protein Fitness Function Estimation
by: Daud, Muhammad, et al.
Published: (2025)

An Interpretable Neural Network for Vegetation Phenotyping with Visualization of Trait-Based Spectral Features
by: Basener, William, et al.
Published: (2024)

Deep Multi-modal Breast Cancer Detection Network
by: Shah, Noor Ul Huda, et al.
Published: (2025)

Characterizing Long-Range Dependencies in Knee Joint Contact Mechanics: A Comparison of Topology Diffusion, Global Routing, and Hybrid Graph Neural Networks
by: Pan, Zhengye, et al.
Published: (2026)

Pharmacometrics Modeling via Physics-Informed Neural Networks: Integrating Time-Variant Absorption Rates and Fractional Calculus for Enhancing Prediction Accuracy
by: Ahmadi, Nazanin, et al.
Published: (2024)

PR-NET: Leveraging Pathway Refined Network Structures for Prostate Cancer Patient Condition Prediction
by: Li, R., et al.
Published: (2024)

Dual-Pathway Fusion of EHRs and Knowledge Graphs for Predicting Unseen Drug-Drug Interactions
by: Lee, Franklin, et al.
Published: (2025)

A Scalable Tool For Analyzing Genomic Variants Of Humans Using Knowledge Graphs and Machine Learning
by: Prasanna, Shivika, et al.
Published: (2024)

Neural Diffusion Processes for Physically Interpretable Survival Prediction
by: Cristofoletto, Alessio, et al.
Published: (2025)

SOWAHA as a Cancer Suppressor Gene Influence Metabolic Reprogramming
by: Yi, Xiaohong, et al.
Published: (2024)

Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges
by: Chi, Changxi, et al.
Published: (2025)

DREAM-B3P: Dual-Stream Transformer Network Enhanced by Feedback Diffusion Model for Blood-Brain Barrier Penetrating Peptide Prediction
by: Wang, Kaijie, et al.
Published: (2025)

An Active Learning Framework for Data-Efficient, Human-in-the-Loop Enzyme Function Prediction
by: Babjac, Ashley, et al.
Published: (2026)

A Joint Survival Modeling and Therapy Knowledge Graph Framework to Characterize Opioid Use Disorder Trajectories
by: Wei, Mengman, et al.
Published: (2026)

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

Drug Repurposing Using Deep Embedded Clustering and Graph Neural Networks
by: Delzer, Luke, et al.
Published: (2025)

MGKAN: Predicting Asymmetric Drug-Drug Interactions via a Multimodal Graph Kolmogorov-Arnold Network
by: Fan, Kunyi, et al.
Published: (2026)

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks
by: Xie, HongXin, et al.
Published: (2025)

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

Predicting Side Effect of Drug Molecules using Recurrent Neural Networks
by: Beaudoin, Collin, et al.
Published: (2023)

Graph-Based Biomarker Discovery and Interpretation for Alzheimer's Disease
by: Khalid, Maryam, et al.
Published: (2024)

HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction
by: Liu, Bin, et al.
Published: (2024)

Predicting Drug Solubility Using Different Machine Learning Methods -- Linear Regression Model with Extracted Chemical Features vs Graph Convolutional Neural Network
by: Ho, John, et al.
Published: (2023)

A Regressor-Guided Graph Diffusion Model for Predicting Enzyme Mutations to Enhance Turnover Number
by: Yu, Xiaozhu, et al.
Published: (2024)

A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly
by: Koodli, Rohan V., et al.
Published: (2025)

Integrating Single-Cell Foundation Models with Graph Neural Networks for Drug Response Prediction
by: Rossner, Till, et al.
Published: (2025)