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Graph Neural Networks with Parallel Neighborhood Aggregations for Graph
  Classification

Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification

22 November 2021
Siddhant Doshi
S. Chepuri
    GNN
ArXivPDFHTML

Papers citing "Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification"

5 / 5 papers shown
Title
SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction
SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction
Liu Junchi
Tang Ying
Tretiak Sergei
Duan Wenhui
Zhou Liujiang
33
0
0
01 May 2025
Exploring Graph Neural Networks for Stock Market Predictions with
  Rolling Window Analysis
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis
Daiki Matsunaga
Toyotaro Suzumura
Toshihiro Takahashi
AIFin
30
82
0
24 Sep 2019
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
231
1,941
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
162
1,775
0
02 Mar 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
238
3,234
0
24 Nov 2016
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