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Weisfeiler and Leman go sparse: Towards scalable higher-order graph
  embeddings

Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings

2 April 2019
Christopher Morris
Gaurav Rattan
Petra Mutzel
ArXivPDFHTML

Papers citing "Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings"

5 / 5 papers shown
Title
Variational Graph Generator for Multi-View Graph Clustering
Variational Graph Generator for Multi-View Graph Clustering
Jianpeng Chen
Yawen Ling
Jie Xu
Yazhou Ren
Shudong Huang
X. Pu
Zhifeng Hao
Philip S. Yu
Lifang He
27
5
0
13 Oct 2022
A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants
A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants
Ningyuan Huang
Soledad Villar
24
62
0
18 Jan 2022
Reconstruction for Powerful Graph Representations
Reconstruction for Powerful Graph Representations
Leonardo Cotta
Christopher Morris
Bruno Ribeiro
AI4CE
130
78
0
01 Oct 2021
From Local Structures to Size Generalization in Graph Neural Networks
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai
Ethan Fetaya
E. Meirom
Gal Chechik
Haggai Maron
GNN
AI4CE
169
123
0
17 Oct 2020
Provably Powerful Graph Networks
Provably Powerful Graph Networks
Haggai Maron
Heli Ben-Hamu
Hadar Serviansky
Y. Lipman
25
562
0
27 May 2019
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