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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
Marion Neumann
Christopher Morris
Kristian Kersting
Petra Mutzel
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Papers citing "A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels"

4 / 4 papers shown
Title
A Short Review on Novel Approaches for Maximum Clique Problem: from
  Classical algorithms to Graph Neural Networks and Quantum algorithms
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
37
5
0
13 Mar 2024
Graph Kernels: State-of-the-Art and Future Challenges
Graph Kernels: State-of-the-Art and Future Challenges
Karsten M. Borgwardt
Elisabetta Ghisu
Felipe Llinares-López
Leslie O’Bray
Bastian Alexander Rieck
AI4TS
31
101
0
07 Nov 2020
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector
  Embeddings of Structured Data
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data
Martin Grohe
29
170
0
27 Mar 2020
Rethinking Kernel Methods for Node Representation Learning on Graphs
Rethinking Kernel Methods for Node Representation Learning on Graphs
Yu Tian
Long Zhao
Xi Peng
Dimitris N. Metaxas
28
23
0
06 Oct 2019
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