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Unleashing the Potential of Fractional Calculus in Graph Neural Networks
  with FROND

Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND

26 April 2024
Qiyu Kang
Kai Zhao
Qinxu Ding
Feng Ji
Xuhao Li
Wenfei Liang
Yang Song
Wee Peng Tay
ArXivPDFHTML

Papers citing "Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND"

11 / 11 papers shown
Title
PointDifformer: Robust Point Cloud Registration With Neural Diffusion
  and Transformer
PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer
Rui She
Qiyu Kang
Sijie Wang
Wee Peng Tay
Kai Zhao
Yang Song
Tianyu Geng
Yi Xu
Diego Navarro Navarro
Andreas Hartmannsgruber
3DPC
DiffM
28
13
0
22 Apr 2024
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Weichen Zhao
Chenguang Wang
Xinyan Wang
Congying Han
Tiande Guo
Tianshu Yu
35
0
0
23 Feb 2024
Leveraging Label Non-Uniformity for Node Classification in Graph Neural
  Networks
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks
Feng Ji
See Hian Lee
Hanyang Meng
Kai Zhao
Jielong Yang
Wee Peng Tay
33
12
0
29 Apr 2023
On the Robustness of Graph Neural Diffusion to Topology Perturbations
On the Robustness of Graph Neural Diffusion to Topology Perturbations
Yang Song
Qiyu Kang
Sijie Wang
Zhao Kai
Wee Peng Tay
DiffM
AAML
42
35
0
16 Sep 2022
SGAT: Simplicial Graph Attention Network
SGAT: Simplicial Graph Attention Network
See Hian Lee
Feng Ji
Wee Peng Tay
57
22
0
24 Jul 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
Graph Geometry Interaction Learning
Graph Geometry Interaction Learning
Shichao Zhu
Shirui Pan
Chuan Zhou
Jia Wu
Yanan Cao
Bin Wang
51
77
0
23 Oct 2020
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
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
220
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
234
1,801
0
25 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
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