Learn Before
Concept
The key distinction between GNN and the WL algorhtm
- The WL algorithm aggregates and updates discrete labels (using a hash function) while GNN models aggregate and update node embeddings using neural networks.
- GNNs have been motivated and derived as a continuous and differentiable analog of the WL algorithm.
0
1
Updated 2026-07-03
Contributors are:
Who are from:
Tags
Deep Learning
Data Science
Machine Learning Yearning @ DeepLearning.AI
Dive into Deep Learning @ D2L
Machine Learning
Supervised Learning