This work provides a formalization of Knowledge Graphs (KGs) as a new cl...
Deep learning models tend not to be out-of-distribution robust primarily...
This work provides the first theoretical study on the ability of graph
M...
Node classification is a central task in relational learning, with the
c...
In general, graph representation learning methods assume that the test a...