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Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited

22 May 2022

Nils M. Kriege

Papers citing "Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited"

22 / 22 papers shown

Title
Weisfeiler and Leman go Machine Learning: The Story so far Christopher Morris Y. Lipman Haggai Maron Bastian Rieck Nils M. Kriege Martin Grohe Matthias Fey Karsten Borgwardt GNN 117 118 0 18 Dec 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs Christopher Morris Matthias Fey Nils M. Kriege GNN 55 24 0 12 May 2021
The Logic of Graph Neural Networks Martin Grohe AI4CE 56 92 0 29 Apr 2021
Graph Kernels: State-of-the-Art and Future Challenges Karsten Borgwardt Elisabetta Ghisu Felipe Llinares-López Leslie O’Bray Bastian Rieck AI4TS 86 106 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 245 828 0 16 Jul 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 108 695 0 09 Jun 2020
Graph Homomorphism Convolution Hoang NT Takanori Maehara 160 41 0 03 May 2020
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework Floris Geerts Filip Mazowiecki Guillermo A. Pérez GNN 99 38 0 06 Apr 2020
Convolutional Kernel Networks for Graph-Structured Data Dexiong Chen Laurent Jacob Julien Mairal GNN 88 55 0 11 Mar 2020
Understanding Isomorphism Bias in Graph Data Sets Sergei Ivanov Sergei Sviridov Evgeny Burnaev FaML AI4CE 115 38 0 26 Oct 2019
Wasserstein Weisfeiler-Lehman Graph Kernels Matteo Togninalli M. Ghisu Felipe Llinares-López Bastian Rieck Karsten Borgwardt 76 201 0 04 Jun 2019
A Survey on Graph Kernels Nils M. Kriege Fredrik D. Johansson Christopher Morris 151 419 0 28 Mar 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 807 8,597 0 03 Jan 2019
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 194 1,646 0 04 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 261 7,710 0 01 Oct 2018
Deriving Neural Architectures from Sequence and Graph Kernels Tao Lei Wengong Jin Regina Barzilay Tommi Jaakkola GNN 96 137 0 25 May 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 441 2,483 0 10 Mar 2017
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels Nils M. Kriege Marion Neumann Christopher Morris Kristian Kersting Petra Mutzel 89 22 0 02 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 684 29,183 0 09 Sep 2016
On Valid Optimal Assignment Kernels and Applications to Graph Classification Nils M. Kriege Pierre-Louis Giscard Richard C. Wilson 96 215 0 03 Jun 2016
On the Definiteness of Earth Mover's Distance and Its Relation to Set Intersection Andrew Gardner C. A. Duncan Jinko Kanno R. Selmic 40 13 0 09 Oct 2015
Graph Kernels S.V.N. Vishwanathan Karsten Borgwardt I. Kondor N. Schraudolph 154 1,206 0 01 Jul 2008