A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels

A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels

2 March 2017

Nils M. Kriege

Christopher Morris

Kristian Kersting

Papers citing "A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels"

7 / 7 papers shown

Title
A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms Raffaele Marino L. Buffoni Bogdan Zavalnij GNN 42 5 0 13 Mar 2024
Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited Nils M. Kriege 16 15 0 22 May 2022
Graph Kernels: State-of-the-Art and Future Challenges Karsten Borgwardt Elisabetta Ghisu Felipe Llinares-López Leslie O’Bray Bastian Rieck AI4TS 31 103 0 07 Nov 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 60 791 0 16 Jul 2020
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data Martin Grohe 32 170 0 27 Mar 2020
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 34 23 0 06 Oct 2019
A Survey on Graph Kernels Nils M. Kriege Fredrik D. Johansson Christopher Morris 26 407 0 28 Mar 2019