90 citations · 194 across the 29 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
stat.ML2018★ 2 cited
Message Passing Graph Kernels
Giannis Nikolentzos, Michalis Vazirgiannis
Graph kernels have recently emerged as a promising approach for tackling the graph similarity and learning tasks at the same time. In this paper, we propose a general framework for…
stat.ML2018★ 29 cited
GraKeL: A Graph Kernel Library in Python
Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios +3
The problem of accurately measuring the similarity between graphs is at the core of many applications in a variety of disciplines. Graph kernels have recently emerged as a promisin…