Mean-field theory of graph neural networks in graph partitioning

29 October 2018

Papers citing "Mean-field theory of graph neural networks in graph partitioning"

27 / 27 papers shown

Title
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks Han Zhang Yan Wang Guanfeng Liu Pengfei Ding Huaxiong Wang Kwok-Yan Lam 96 0 0 20 May 2025
Learning to Control the Smoothness of Graph Convolutional Network Features Shih-Hsin Wang Justin Baker Cory Hauck Bao Wang 65 0 0 18 Oct 2024
Generated Contents Enrichment Mahdi Naseri Jiayan Qiu Zhou Wang 88 0 0 06 May 2024
Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation Yuanyi Wang Wei Tang Haifeng Sun Zirui Zhuang Xiaoyuan Fu Jingyu Wang Qi Qi Jianxin Liao 83 1 0 05 Feb 2024
Large Scale Training of Graph Neural Networks for Optimal Markov-Chain Partitioning Using the Kemeny Constant S. Martino João Morado Chenghao Li Zhenghao Lu E. Rosta GNN 18 1 0 22 Dec 2023
Multi-Factor Spatio-Temporal Prediction based on Graph Decomposition Learning Jiahao Ji Jingyuan Wang Yu Mou Cheng Long AI4TS 56 1 0 16 Oct 2023
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference Haixing Dai Mengxuan Hu Qing Li Lu Zhang Lin Zhao ... Manhua Liu Quanzheng Li Sheng Li Tianming Liu Xiang Li CML OOD 106 2 0 03 Jul 2023
Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent Kernel Mahalakshmi Sabanayagam Pascal Esser Debarghya Ghoshdastidar 113 2 0 18 Oct 2022
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks Pascal Esser L. C. Vankadara Debarghya Ghoshdastidar 69 56 0 07 Dec 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters Takanori Maehara Hoang NT 82 2 0 05 Nov 2021
New Insights into Graph Convolutional Networks using Neural Tangent Kernels Mahalakshmi Sabanayagam Pascal Esser Debarghya Ghoshdastidar 53 6 0 08 Oct 2021
Semi-relaxed Gromov-Wasserstein divergence with applications on graphs Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 91 23 0 06 Oct 2021
Graph-Convolutional Deep Learning to Identify Optimized Molecular Configurations Eshan Joshi S. Somuyiwa H. Jooya GNN 42 0 0 22 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 160 20 0 21 Jul 2021
A Deep Graph Neural Networks Architecture Design: From Global Pyramid-like Shrinkage Skeleton to Local Topology Link Rewiring Gege Zhang 23 0 0 16 Dec 2020
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves Claire E. Heaney Yuling Li Omar K. Matar Christopher C. Pain AI4CE 66 17 0 24 Nov 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 140 230 0 30 Sep 2020
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks Amol Kapoor X. Ben Luyang Liu Bryan Perozzi Matt Barnes Martin J. Blais S. O’Banion 78 196 0 06 Jul 2020
The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version Abram Magner Mayank Baranwal Alfred Hero GNN 49 14 0 13 Feb 2020
Mean-field inference methods for neural networks Marylou Gabrié AI4CE 122 33 0 03 Nov 2019
Fundamental Limits of Deep Graph Convolutional Networks Abram Magner Mayank Baranwal Alfred Hero GNN 51 7 0 28 Oct 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 139 434 0 23 May 2019
GAP: Generalizable Approximate Graph Partitioning Framework Azade Nazi W. Hang Anna Goldie Sujith Ravi Azalia Mirhoseini 78 61 0 02 Mar 2019
Simultaneous Subspace Clustering and Cluster Number Estimating based on Triplet Relationship Jie Liang Jufeng Yang Ming-Ming Cheng Paul L. Rosin Liang Wang 28 17 0 23 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 825 8,624 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.2K 5,588 0 20 Dec 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 225 1,701 0 14 Oct 2018