research
∙
06/30/2023
Generalization Limits of Graph Neural Networks in Identity Effects Learning
Graph Neural Networks (GNNs) have emerged as a powerful tool for data-dr...
share
research
∙
10/08/2022
Weisfeiler–Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs
Graph Neural Networks (GNNs) are a large class of relational models for ...
research
∙
06/16/2021
