Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries

22 June 2022

Papers citing "Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries"

23 / 23 papers shown

Title
Soft causal learning for generalized molecule property prediction: An environment perspective Limin Li Kuo Yang Wenjie Du Pengkun Wang Zhengyang Zhou Yang Wang OOD AI4CE 46 0 0 07 May 2025
Enhancing Graph Representation Learning with Localized Topological Features Zuoyu Yan Qi Zhao Ze Ye Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 47 0 0 17 Jan 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements Haoyang Li Y. Xu C. Zhang Alexander Zhou Lei Chen Qing Li AI4CE 88 0 0 03 Jan 2025
Efficient Link Prediction via GNN Layers Induced by Negative Sampling Yuxin Wang Xiannian Hu Quan Gan Xuanjing Huang Xipeng Qiu David Wipf 56 4 0 31 Dec 2024
Theoretical Insights into Line Graph Transformation on Graph Learning Fan Yang Xingyue Huang 32 0 0 21 Oct 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 35 4 0 05 May 2024
ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment Yang Luo Zhuo Chen Lingbing Guo Qian Li Wenxuan Zeng Zhixin Cai Jianxin Li 38 5 0 16 Feb 2024
On the Completeness of Invariant Geometric Deep Learning Models Zian Li Xiyuan Wang Shijia Kang Muhan Zhang 31 2 0 07 Feb 2024
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection Zhihao Ding Jieming Shi Shiqi Shen Xuequn Shang Jiannong Cao Zhipeng Wang Zhi Gong OODD OOD 27 4 0 16 Oct 2023
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 40 19 0 16 Aug 2023
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks Cai Zhou Xiyuan Wang Muhan Zhang 26 14 0 08 May 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Jianguo Wang Pan Li 61 8 0 06 Mar 2023
Graph Positional Encoding via Random Feature Propagation Moshe Eliasof Fabrizio Frasca Beatrice Bevilacqua Eran Treister Gal Chechik Haggai Maron 14 16 0 06 Mar 2023
Technical report: Graph Neural Networks go Grammatical Jason Piquenot Aldo Moscatelli Maxime Bérar Pierre Héroux R. Raveaux Jean-Yves Ramel Sébastien Adam 17 0 0 02 Mar 2023
A Generalization of ViT/MLP-Mixer to Graphs Xiaoxin He Bryan Hooi T. Laurent Adam Perold Yann LeCun Xavier Bresson 22 88 0 27 Dec 2022
Boosting the Cycle Counting Power of Graph Neural Networks with I $^2$ -GNNs Yinan Huang Xingang Peng Jianzhu Ma Muhan Zhang 76 46 0 22 Oct 2022
A Theoretical Comparison of Graph Neural Network Extensions Pál András Papp Roger Wattenhofer 95 45 0 30 Jan 2022
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 192 306 0 15 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 122 78 0 01 Oct 2021
The expressive power of kth-order invariant graph networks Floris Geerts 123 37 0 23 Jul 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 167 170 0 09 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 183 913 0 02 Mar 2020
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 90 48 0 07 Feb 2020