With easier access to powerful compute resources, there is a growing tre...
Current state-of-the-art causal models for link prediction assume an
und...
In this work, we introduce a hypergraph representation learning framewor...
Given a graph learning task, such as link prediction, on a new graph dat...
The rapid development of network science and technologies depends on
sha...
In this work, we formalize the problem of causal inference over graph-ba...