Local graph neighborhood sampling is a fundamental computational problem...
Representation learning for graphs enables the application of standard
m...
Correlation clustering is arguably the most natural formulation of
clust...
We present novel graph kernels for graphs with node and edge labels that...
Numerous important problems can be framed as learning from graph data. W...