The task of inductive link prediction in (discrete) attributed multigrap...
Two main families of node feature augmentation schemes have been explore...
Recent work on neural algorithmic reasoning has investigated the reasoni...
Current state-of-the-art causal models for link prediction assume an
und...
The cornerstone of neural algorithmic reasoning is the ability to solve
...
Subgraph GNNs are a recent class of expressive Graph Neural Networks (GN...
Message-passing neural networks (MPNNs) are the leading architecture for...
In general, graph representation learning methods assume that the test a...