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A Simple and Scalable Graph Neural Network for Large Directed Graphs

A Simple and Scalable Graph Neural Network for Large Directed Graphs

14 June 2023
Seiji Maekawa
Yuya Sasaki
Makoto Onizuka
    GNN
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Papers citing "A Simple and Scalable Graph Neural Network for Large Directed Graphs"

4 / 4 papers shown
Title
GraphWorld: Fake Graphs Bring Real Insights for GNNs
GraphWorld: Fake Graphs Bring Real Insights for GNNs
John Palowitch
Anton Tsitsulin
Brandon Mayer
Bryan Perozzi
GNN
183
68
0
28 Feb 2022
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed
  Graph Neural Networks
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
Yixuan He
Quan Gan
David Wipf
G. Reinert
Junchi Yan
Mihai Cucuringu
GNN
FedML
18
19
0
01 Feb 2022
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
183
913
0
02 Mar 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,809
0
25 Nov 2016
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