Attention-based graph neural networks (GNNs), such as graph attention
ne...
We introduce Joint Multidimensional Scaling, a novel approach for
unsupe...
Frequent and structurally related subgraphs, also known as network motif...
The Transformer architecture has gained growing attention in graph
repre...
We show that viewing graphs as sets of node features and incorporating
s...
We introduce a kernel for sets of features based on an optimal transport...
We introduce a family of multilayer graph kernels and establish new link...
MixUp is an effective data augmentation method to regularize deep neural...
Substring kernels are classical tools for representing biological sequen...