DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network
cs.LG, cs.AI
Submitted: 2024-08-22
Updated: 2025-03-28
Journal ref: Artificial Intelligence in Medicine, 163 (2025), 103101
DOI: 10.1016/j.artmed.2025.103101
Code: https://github.com/vshydream/DRExplainer
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Semi-Supervised Classification with Graph Convolutional Networks
- ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions
- Embedding Entities and Relations for Learning and Inference in Knowledge Bases
- A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem
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