Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey

13 May 2020

Bogdan Gabrys

Papers citing "Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey"

29 / 29 papers shown

Title
Rethinking Time Encoding via Learnable Transformation Functions Xi Chen Yateng Tang Jiarong Xu Jiawei Zhang Siwei Zhang Sijia Peng Xuehao Zheng Yun Xiong AI4TS 51 0 0 01 May 2025
TiGer: Self-Supervised Purification for Time-evolving Graphs Hyeonsoo Jo Jongha Lee Fanchen Bu Kijung Shin 41 0 0 10 Mar 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 42 2 0 28 Oct 2024
Learning production functions for supply chains with graph neural networks Serina Chang Zhiyin Lin Benjamin Yan Swapnil Bembde Qi Xiu ... Yu Qin Frank Kloster Alex Luo Raj Palleti J. Leskovec GNN AI4TS 41 1 0 26 Jul 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 32 10 0 31 May 2024
BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers Buyun He Yingguang Yang Qi Wu Hao Liu Renyu Yang Hao Peng Xiang Wang Yong Liao P. Zhou 21 6 0 23 Apr 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 45 5 0 09 Feb 2024
A Closer Look at AUROC and AUPRC under Class Imbalance Matthew B. A. McDermott Lasse Hyldig Hansen Haoran Zhang Giovanni Angelotti Jack Gallifant 36 31 0 11 Jan 2024
Digital Twin-Oriented Complex Networked Systems based on Heterogeneous Node Features and Interaction Rules Jiaqi Wen Bogdan Gabrys Katarzyna Musial 9 5 0 18 Aug 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks Yuan-Qi Bei Haonan Xu Sheng Zhou Huixuan Chi Haishuai Wang Mengdi Zhang Zhao Li Jiajun Bu 38 6 0 06 Jul 2023
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs Haohui Wang Yuzhen Mao Yujun Yan Yaoqing Yang Jianhui Sun ... Si Zhang Alison Hu Edward Bowen Tyler Cody Dawei Zhou 44 2 0 01 May 2023
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network Inference Han-Chen Chen Cong Hao GNN AI4CE 31 9 0 13 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 34 14 0 12 Apr 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified Library Le Yu Leilei Sun Bowen Du Weifeng Lv AI4CE 24 96 0 23 Mar 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation Jing Liu Tongya Zheng Guanzheng Zhang Qinfen Hao 31 8 0 27 Feb 2023
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs Chunyang Wang Desen Sun Yunru Bai GNN AI4CE 42 15 0 01 Jan 2023
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling Jiayun Wu Tao Jia Yansong Wang Li Tao 6 2 0 12 Nov 2022
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs Silvia Beddar-Wiesing Giuseppe Alessio D’Inverno C. Graziani Veronica Lachi Alice Moallemy-Oureh F. Scarselli J. M. Thomas 31 9 0 08 Oct 2022
Provably expressive temporal graph networks Amauri Souza Diego Mesquita Samuel Kaski Vikas K. Garg 89 54 0 29 Sep 2022
Graph Neural Networks Designed for Different Graph Types: A Survey J. M. Thomas Alice Moallemy-Oureh Silvia Beddar-Wiesing Clara Holzhuter 26 29 0 06 Apr 2022
Graph Neural Networks in IoT: A Survey Guimin Dong Mingyue Tang Zhiyuan Wang Jiechao Gao Sikun Guo Lihua Cai Robert Gutierrez Brad Campbell Laura E. Barnes M. Boukhechba GNN AI4CE 37 96 0 29 Mar 2022
Graph similarity learning for change-point detection in dynamic networks Déborah Sulem Henry Kenlay Mihai Cucuringu Xiaowen Dong 32 14 0 29 Mar 2022
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey Yuecai Zhu Fuyuan Lyu Chengming Hu X. Chen Xue Liu AI4TS AI4CE 21 20 0 20 Mar 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
Geometric learning of the conformational dynamics of molecules using dynamic graph neural networks Michael Ashby Jenna A. Bilbrey 22 4 0 24 Jun 2021
On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions Jianfei Gao Bruno Ribeiro 27 11 0 12 Mar 2021
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs Changmin Wu Giannis Nikolentzos Michalis Vazirgiannis GNN 19 10 0 02 Mar 2020
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,903 0 13 Jun 2015
A survey of statistical network models Anna Goldenberg A. Zheng S. Fienberg E. Airoldi 125 976 0 29 Dec 2009