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PropEnc: A Property Encoder for Graph Neural Networks

PropEnc: A Property Encoder for Graph Neural Networks

17 September 2024
Anwar Said
W. Abbas
X. Koutsoukos
ArXivPDFHTML

Papers citing "PropEnc: A Property Encoder for Graph Neural Networks"

14 / 14 papers shown
Title
Improving Graph Machine Learning Performance Through Feature
  Augmentation Based on Network Control Theory
Improving Graph Machine Learning Performance Through Feature Augmentation Based on Network Control Theory
Anwar Said
O. Ahmad
W. Abbas
Mudassir Shabbir
X. Koutsoukos
48
2
0
03 May 2024
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph
  Embeddings Augmentation
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation
Anwar Said
Mudassir Shabbir
Hanyu Wang
W. Abbas
X. Koutsoukos
44
2
0
10 Oct 2023
On Positional and Structural Node Features for Graph Neural Networks on
  Non-attributed Graphs
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs
Hejie Cui
Zijie Lu
Pan Li
Carl Yang
46
82
0
03 Jul 2021
TUDataset: A collection of benchmark datasets for learning with graphs
TUDataset: A collection of benchmark datasets for learning with graphs
Christopher Morris
Nils M. Kriege
Franka Bause
Kristian Kersting
Petra Mutzel
Marion Neumann
220
819
0
16 Jul 2020
A Fair Comparison of Graph Neural Networks for Graph Classification
A Fair Comparison of Graph Neural Networks for Graph Classification
Federico Errica
Marco Podda
D. Bacciu
Alessio Micheli
FaML
106
444
0
20 Dec 2019
On Node Features for Graph Neural Networks
On Node Features for Graph Neural Networks
Chi Thang Duong
Thanh Dat Hoang
Haikun Dang
Quoc Viet Hung Nguyen
Karl Aberer
GNN
39
45
0
20 Nov 2019
Position-aware Graph Neural Networks
Position-aware Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
93
496
0
11 Jun 2019
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
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
181
1,630
0
04 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
224
7,623
0
01 Oct 2018
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
462
15,179
0
07 Jun 2017
Deep Feature Learning for Graphs
Deep Feature Learning for Graphs
Ryan A. Rossi
R. Zhou
Nesreen Ahmed
GNN
30
59
0
28 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
587
28,999
0
09 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
186
10,856
0
03 Jul 2016
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
252
9,769
0
26 Mar 2014
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