Transforming PageRank into an Infinite-Depth Graph Neural Network

1 July 2022

Papers citing "Transforming PageRank into an Infinite-Depth Graph Neural Network"

9 / 9 papers shown

Title
What Can We Learn From MIMO Graph Convolutions? Andreas Roth Thomas Liebig 112 0 0 16 May 2025
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 83 4 0 17 Sep 2024
Simplifying the Theory on Over-Smoothing Andreas Roth 117 4 0 16 Jul 2024
BHGNN-RT: Network embedding for directed heterogeneous graphs Xiyang Sun F. Komaki 85 1 0 24 Nov 2023
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks Andreas Roth Thomas Liebig 83 0 0 02 Oct 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks Andreas Roth Thomas Liebig 114 14 0 31 Aug 2023
Curvature-based Pooling within Graph Neural Networks Cedric Sanders Andreas Roth Thomas Liebig 80 5 0 31 Aug 2023
What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings Zequn Sun Jiacheng Huang Xiaozhou Xu Qijin Chen Weijun Ren Wei Hu AI4TS 51 4 0 05 Jun 2023
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks Andreas Roth Thomas Liebig AI4TS AI4CE 68 10 0 21 Nov 2022