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Principle of Relevant Information for Graph Sparsification

Principle of Relevant Information for Graph Sparsification

31 May 2022
Shujian Yu
Francesco Alesiani
Wenzhe Yin
Robert Jenssen
José C. Príncipe
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Papers citing "Principle of Relevant Information for Graph Sparsification"

4 / 4 papers shown
Title
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
Junchao Lin
Zenan Ling
Zhanbo Feng
Feng Zhou
Jingwen Xu
Feng Zhou
Tianqi Hou
Zhenyu Liao
Robert C. Qiu
GNN
AI4CE
59
0
0
11 Oct 2024
Graph Distillation with Eigenbasis Matching
Graph Distillation with Eigenbasis Matching
Yang Liu
Deyu Bo
Chuan Shi
DD
30
9
0
13 Oct 2023
Self-organization Preserved Graph Structure Learning with Principle of
  Relevant Information
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information
Qingyun Sun
Jianxin Li
Beining Yang
Xingcheng Fu
Hao Peng
Philip S. Yu
32
11
0
30 Dec 2022
Graph Information Bottleneck
Graph Information Bottleneck
Tailin Wu
Hongyu Ren
Pan Li
J. Leskovec
AAML
93
225
0
24 Oct 2020
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