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Improving the Expressiveness of $K$-hop Message-Passing GNNs by
  Injecting Contextualized Substructure Information

Improving the Expressiveness of KKK-hop Message-Passing GNNs by Injecting Contextualized Substructure Information

27 June 2024
Tianjun Yao
Yiongxu Wang
Kun Zhang
Shangsong Liang
ArXivPDFHTML

Papers citing "Improving the Expressiveness of $K$-hop Message-Passing GNNs by Injecting Contextualized Substructure Information"

4 / 4 papers shown
Title
Graph Neural Networks with Learnable Structural and Positional
  Representations
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi
A. Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
GNN
192
306
0
15 Oct 2021
Reconstruction for Powerful Graph Representations
Reconstruction for Powerful Graph Representations
Leonardo Cotta
Christopher Morris
Bruno Ribeiro
AI4CE
122
78
0
01 Oct 2021
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
229
1,935
0
09 Jun 2018
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
159
1,766
0
02 Mar 2017
1