Graph Neural Networks, Transformers, Machine Learning, Artificial Intelligence, Graph Processing.
attention counterparts. To evaluate GKAT with RWGNK kernels, the team conducted experiments ranging from purely combinatorial to bioinformatics tasks. They compared GKAT with graph convolution networks (GCNs), spectral graph convolution networks (SGCs), graph attention networks (GATs), etc. On the