Towards panoramic explainability of graph neural networks
Ge Lv · 2023
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,…Read more ›