غير محددة في المصدر
2023 بحاجة إلى مراجعة
Towards panoramic explainability of graph neural networks
الملخص
HKUST Electronic Theses Towards panoramic explainability of graph neural networks by Ge Lv thesis 2023 1 online resource (xiii, 103 pages) : illustrations (some color) Graph Neural Networks (GNNs) have demonstrated outstanding effectiveness on both heterogeneous and homogeneous graphs. However,
الملخص كما ورد في المصدر مقتطع؛ النص الكامل في المصدر الأصلي.
الكلمات المفتاحية
غير متوفر
التخصصات
رسائل وأطاريح مشابهة
- The expressivity and explainability of graph neural networks Matthew Morris · University of Oxford · 2026
- One-Class Learning for Graph Neural Networks Marcos Paulo Silva Gôlo · Universidade de São Paulo · 2026
- Causal Inference Explanations for Graph Neural Networks Sahil Satish Kumar · 2025
- Network anomaly detection with graph neural networks Hamid Latif-Martínez · Universitat Politècnica de Catalunya · 2025
- Explaining Graph Neural Networks Tobias Christian Nauen · Leibniz Universität Hannover · 2021
- Scalability and interpretability of graph neural networks for small molecules Manjot. Sangha · Massachusetts Institute of Technology · 2018
