Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks

11 May 2024

Papers citing "Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks"

4 / 4 papers shown

Title
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks Vasimuddin Sanchit Misra Guixiang Ma Ramanarayan Mohanty E. Georganas A. Heinecke Dhiraj D. Kalamkar Nesreen Ahmed Sasikanth Avancha GNN 53 119 0 14 Apr 2021
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 72 1,323 0 25 Jul 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 111 1,268 0 20 May 2019
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 231 8,030 0 13 Aug 2016