Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs

Neural Information Processing Systems 

As a powerful framework for graph representation learning, Graph Neural Networks (GNNs) have garnered significant attention in recent years.

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