Discrete-time Temporal Network Embedding via Implicit Hierarchical
Learning in Hyperbolic Space

Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space

8 July 2021

Marcus Kalander

Irwin King

Papers citing "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space"

10 / 10 papers shown

Title
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Xiang Wu Xunkai Li Rong-Hua Li Kangfei Zhao Guoren Wang AI4TS AI4CE 54 0 0 27 Jan 2025
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours Yuxin Yang Hongkuan Zhou R. Kannan Viktor Prasanna 36 0 0 31 Dec 2024
Hyperbolic Representation Learning: Revisiting and Advancing Menglin Yang Min Zhou Rex Ying Yankai Chen Irwin King 35 19 0 15 Jun 2023
Boosting long-term forecasting performance for continuous-time dynamic graph networks via data augmentation Yu Tian Mingjie Zhu Jiachi Luo Song Li 24 0 0 12 Apr 2023
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces Li Sun Junda Ye Hao Peng Feiyang Wang Philip S. Yu CLL 19 31 0 30 Nov 2022
Discovering Representative Attribute-stars via Minimum Description Length Jiahong Liu Min Zhou Philippe Fournier-Viger Menglin Yang Lujia Pan M. Nouioua 22 7 0 27 Apr 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 21 52 0 28 Feb 2022
Graph Lifelong Learning: A Survey F. Febrinanto Feng Xia Kristen Moore Chandra Thapa Charu C. Aggarwal CLL AI4CE 37 51 0 22 Feb 2022
Graph Geometry Interaction Learning Shichao Zhu Shirui Pan Chuan Zhou Jia Wu Yanan Cao Bin Wang 66 90 0 23 Oct 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 250 3,236 0 24 Nov 2016