GIST: Distributed Training for Large-Scale Graph Convolutional Networks

GIST: Distributed Training for Large-Scale Graph Convolutional Networks

20 February 2021

Cameron R. Wolfe

Arindam Chowdhury

Chen Dun

Santiago Segarra

Anastasios Kyrillidis

Papers citing "GIST: Distributed Training for Large-Scale Graph Convolutional Networks"

10 / 10 papers shown

Title
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity Kai Yi Nidham Gazagnadou Peter Richtárik Lingjuan Lyu 69 11 0 15 Apr 2024
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat Erdong Hu Yu-Shuen Tang Anastasios Kyrillidis C. Jermaine FedML 14 10 0 06 Sep 2023
Towards a Better Theoretical Understanding of Independent Subnetwork Training Egor Shulgin Peter Richtárik AI4CE 16 6 0 28 Jun 2023
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Bin Cui Lei Chen GNN AI4CE 11 53 0 01 Nov 2022
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout Chen Dun Mirian Hipolito Garcia C. Jermaine Dimitrios Dimitriadis Anastasios Kyrillidis 47 20 0 28 Oct 2022
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning Zihui Xue Yuedong Yang Mengtian Yang R. Marculescu 13 8 0 31 Jan 2022
On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons Fangshuo Liao Anastasios Kyrillidis 14 16 0 05 Dec 2021
Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels Artun Bayer Arindam Chowdhury Santiago Segarra 13 5 0 07 Oct 2021
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks Yuning You Tianlong Chen Zhangyang Wang Yang Shen GNN 86 82 0 30 Mar 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016