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Graph Neural Reaction Diffusion Models

Graph Neural Reaction Diffusion Models

16 June 2024
Moshe Eliasof
Eldad Haber
Eran Treister
    DiffM
    AI4CE
ArXivPDFHTML

Papers citing "Graph Neural Reaction Diffusion Models"

7 / 7 papers shown
Title
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
Yonatan Sverdlov
Yair Davidson
Nadav Dym
Tal Amir
16
3
0
10 Oct 2024
Gradient Gating for Deep Multi-Rate Learning on Graphs
Gradient Gating for Deep Multi-Rate Learning on Graphs
T. Konstantin Rusch
B. Chamberlain
Michael W. Mahoney
Michael M. Bronstein
Siddhartha Mishra
68
53
0
02 Oct 2022
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
84
445
0
04 Jan 2021
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
167
1,058
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
139
828
0
28 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
217
1,726
0
09 Jun 2018
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
231
1,801
0
25 Nov 2016
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