Cover Image

DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shi, Haoyuan, Xu, Tao, Li, Xiaodi, Gao, Qian, Xiong, Zhiwei, Xia, Junfeng, Yue, Zhenyu
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction
by: Li, Xiaodi, et al.
Published: (2024)

GraphPINE: Graph Importance Propagation for Interpretable Drug Response Prediction
by: Inoue, Yoshitaka, et al.
Published: (2025)

YZS-model: A Predictive Model for Organic Drug Solubility Based on Graph Convolutional Networks and Transformer-Attention
by: Wang, Chenxu, et al.
Published: (2024)

Towards Interpretable Drug-Drug Interaction Prediction: A Graph-Based Approach with Molecular and Network-Level Explanations
by: Chen, Mengjie, et al.
Published: (2025)

Graph of Verification: Structured Verification of LLM Reasoning with Directed Acyclic Graphs
by: Fang, Jiwei, et al.
Published: (2025)

Modeling Relational Logic Circuits for And-Inverter Graph Convolutional Network
by: Sun, Weihao, et al.
Published: (2025)

Graph Diffusion Network for Drug-Gene Prediction
by: Wu, Jiayang, et al.
Published: (2025)

DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning
by: Wang, Yingying, et al.
Published: (2024)

Graph Pruning Based Spatial and Temporal Graph Convolutional Network with Transfer Learning for Traffic Prediction
by: Jing, Zihao
Published: (2024)

Incorporating Domain Differential Equations into Graph Convolutional Networks to Lower Generalization Discrepancy
by: Sun, Yue, et al.
Published: (2024)

Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
by: Davila, Randy, et al.
Published: (2025)

Quasi-Framelets: Robust Graph Neural Networks via Adaptive Framelet Convolution
by: Yang, Mengxi, et al.
Published: (2022)

Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction
by: Izadi, Mohammad, et al.
Published: (2024)

Factor Graph-based Interpretable Neural Networks
by: Li, Yicong, et al.
Published: (2025)

Dynamic Fusion-Aware Graph Convolutional Neural Network for Multimodal Emotion Recognition in Conversations
by: Meng, Tao, et al.
Published: (2026)

Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting
by: Medina, Edgar, et al.
Published: (2024)

Graph Convolutional Networks and Graph Attention Networks for Approximating Arguments Acceptability -- Technical Report
by: Cibier, Paul, et al.
Published: (2024)

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

Graphs of Research: Citation Evolution Graphs as Supervision for Research Idea Generation
by: Gao, Songyang, et al.
Published: (2026)

Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors
by: Pei, Qizhi, et al.
Published: (2024)

Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
by: Lischka, Attila, et al.
Published: (2025)

RSTGCN: Railway-centric Spatio-Temporal Graph Convolutional Network for Train Delay Prediction
by: Chowdhury, Koyena, et al.
Published: (2025)

Drug Synergy Prediction via Residual Graph Isomorphism Networks and Attention Mechanisms
by: Song, Jiyan, et al.
Published: (2026)

Toward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future Directions
by: Xu, Yue, et al.
Published: (2026)

Disentangling Causal Substructures for Interpretable and Generalizable Drug Synergy Prediction
by: Luo, Yi, et al.
Published: (2025)

FragNet: A Graph Neural Network for Molecular Property Prediction with Four Levels of Interpretability
by: Panapitiya, Gihan, et al.
Published: (2024)

TrajGEOS: Trajectory Graph Enhanced Orientation-based Sequential Network for Mobility Prediction
by: Hu, Zhaoping, et al.
Published: (2024)

TokenUnify: Scaling Up Autoregressive Pretraining for Neuron Segmentation
by: Chen, Yinda, et al.
Published: (2024)

GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease
by: Kang, Wenjie, et al.
Published: (2025)

Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
by: Wang, Ling, et al.
Published: (2024)

Controlling Chat Style in Language Models via Single-Direction Editing
by: Xu, Zhenyu, et al.
Published: (2026)

STAG-CN: Spatio-Temporal Apiary Graph Convolutional Network for Disease Onset Prediction in Beehive Sensor Networks
by: Kang, Sungwoo
Published: (2026)

Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction
by: Dong, Pingping, et al.
Published: (2024)

Ada-TransGNN: An Air Quality Prediction Model Based On Adaptive Graph Convolutional Networks
by: Wang, Dan, et al.
Published: (2025)

Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction
by: Zhao, Zexing, et al.
Published: (2024)

Topological Symmetry Enhanced Graph Convolution for Skeleton-Based Action Recognition
by: Liang, Zeyu, et al.
Published: (2024)

Interpretable Neuropsychiatric Diagnosis via Concept-Guided Graph Neural Networks
by: Wang, Song, et al.
Published: (2025)

HyKGE: A Hypothesis Knowledge Graph Enhanced Framework for Accurate and Reliable Medical LLMs Responses
by: Jiang, Xinke, et al.
Published: (2023)

On the Equivalence of Graph Convolution and Mixup
by: Han, Xiaotian, et al.
Published: (2023)

AICRN: Attention-Integrated Convolutional Residual Network for Interpretable Electrocardiogram Analysis
by: Jayakody, J. M. I. H., et al.
Published: (2025)