2023
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs
NeurIPS 2023poster
As a powerful framework for graph representation learning, Graph Neural Networks (GNNs) have garnered significant attention in recent years. However, to the best of our knowledge, there has been no formal analysis of the logical expressiveness of GNNs as Boolean node classifiers over multi-relationa…