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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

Qiyu Kang
Kai Zhao
Qinxu Ding
Feng Ji
Xuhao Li
Wenfei Liang
Yang Song
Wee Peng Tay
ArXiv (abs)PDFHTMLGithub (8★)

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

5 / 5 papers shown
Title
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
Jielong Lu
Zhihao Wu
Zhiling Cai
Yueyang Pi
Shiping Wang
GNN
177
0
0
18 Apr 2025
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
145
0
0
23 Feb 2024
Adaptive Universal Generalized PageRank Graph Neural Network
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
299
747
0
14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs
DeeperGCN: All You Need to Train Deeper GCNs
Guohao Li
Chenxin Xiong
Ali K. Thabet
Guohao Li
GNN
275
442
0
13 Jun 2020
Hyperbolic Graph Convolutional Neural Networks
Hyperbolic Graph Convolutional Neural Networks
Ines Chami
Rex Ying
Christopher Ré
J. Leskovec
GNN
121
653
0
28 Oct 2019