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Rethinking the Expressive Power of GNNs via Graph Biconnectivity

Rethinking the Expressive Power of GNNs via Graph Biconnectivity

23 January 2023
Bohang Zhang
Shengjie Luo
Liwei Wang
Di He
ArXivPDFHTML

Papers citing "Rethinking the Expressive Power of GNNs via Graph Biconnectivity"

4 / 4 papers shown
Title
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Yuankai Luo
Lei Shi
Xiao-Ming Wu
AI4CE
125
0
0
13 Feb 2025
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Yuxin Wang
Xiannian Hu
Quan Gan
Xuanjing Huang
Xipeng Qiu
David Wipf
108
4
0
31 Dec 2024
Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering
Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering
Mitchell Black
Lucy Lin
A. Nayyeri
Weng-Keen Wong
124
0
0
04 Jun 2024
The Expressive Power of Graph Neural Networks: A Survey
The Expressive Power of Graph Neural Networks: A Survey
Bingxue Zhang
Changjun Fan
Shixuan Liu
Kuihua Huang
Xiang Zhao
Jin-Yu Huang
Zhong Liu
129
22
0
16 Aug 2023
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