Deep learning for dynamic graphs: models and benchmarks

12 July 2023

Papers citing "Deep learning for dynamic graphs: models and benchmarks"

6 / 6 papers shown

Title
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours Yuxin Yang Hongkuan Zhou R. Kannan Viktor Prasanna 25 0 0 31 Dec 2024
Provably expressive temporal graph networks Amauri Souza Diego Mesquita Samuel Kaski Vikas K. Garg 87 54 0 29 Sep 2022
Scalable Spatiotemporal Graph Neural Networks Andrea Cini Ivan Marisca F. Bianchi C. Alippi AI4TS AI4CE 26 48 0 14 Sep 2022
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 169 1,877 0 02 Feb 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,150 0 16 Jan 2013