Scaling Up Graph Neural Networks Via Graph Coarsening

Scaling Up Graph Neural Networks Via Graph Coarsening

9 June 2021

Shengzhong Zhang

Papers citing "Scaling Up Graph Neural Networks Via Graph Coarsening"

13 / 13 papers shown

Title
Efficient Learning on Large Graphs using a Densifying Regularity Lemma Jonathan Kouchly Ben Finkelshtein M. Bronstein Ron Levie 39 0 0 25 Apr 2025
Inference-friendly Graph Compression for Graph Neural Networks Yangxin Fan Haolai Che Yinghui Wu GNN 51 0 0 17 Apr 2025
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 68 2 0 14 Feb 2025
FIT-GNN: Faster Inference Time for GNNs Using Coarsening Shubhajit Roy Hrriday Ruparel Kishan Ved Anirban Dasgupta GNN AI4CE 57 0 0 28 Jan 2025
Next Level Message-Passing with Hierarchical Support Graphs Carlos Vonessen Florian Grötschla Roger Wattenhofer 39 1 0 22 Jun 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding Tahseen Rabbani Bang An Evan Z Wang Furong Huang 23 20 0 21 Jun 2024
Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks Yucheng Wu Liyue Chen Yu Cheng Shuai Chen Jinyu Xu Leye Wang GNN 32 0 0 05 Jun 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition Xin Gao Tong Chen Wentao Zhang Junliang Yu Guanhua Ye Quoc Viet Hung Nguyen 29 7 0 22 May 2024
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching Zibin Huang Jun Xian GNN 27 0 0 19 Apr 2024
HPGNN: Using Hierarchical Graph Neural Networks for Outdoor Point Cloud Processing A. Thieshanthan Amashi Niwarthana Pamuditha Somarathne Tharindu Wickremasinghe Ranga Rodrigo 3DPC 17 1 0 05 Jun 2022
Hyperbolic Graph Neural Networks: A Review of Methods and Applications Menglin Yang Min Zhou Zhihao Li Jiahong Liu Lujia Pan Hui Xiong Irwin King 16 52 0 28 Feb 2022
EIGNN: Efficient Infinite-Depth Graph Neural Networks Juncheng Liu Kenji Kawaguchi Bryan Hooi Yiwei Wang X. Xiao GNN 23 37 0 22 Feb 2022
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,809 0 25 Nov 2016