Representation Learning for Dynamic Graphs: A Survey

27 May 2019

Papers citing "Representation Learning for Dynamic Graphs: A Survey"

32 / 32 papers shown

Title
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities Pengfei Jiao Hongjiang Chen Xuan Guo Zhidong Zhao Dongxiao He Di Jin AI4CE 21 0 0 07 May 2025
Rethinking Time Encoding via Learnable Transformation Functions Xi Chen Yateng Tang Jiarong Xu Jiawei Zhang Siwei Zhang Sijia Peng Xuehao Zheng Yun Xiong AI4TS 47 0 0 01 May 2025
TiGer: Self-Supervised Purification for Time-evolving Graphs Hyeonsoo Jo Jongha Lee Fanchen Bu Kijung Shin 38 0 0 10 Mar 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 83 19 0 28 Jan 2025
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
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers Ashish Parmanand Pandey Alan John Varghese Sarang Patil Mengjia Xu Mamba 86 0 0 15 Dec 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 28 1 0 26 Jul 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 21 10 0 31 May 2024
Gaussian Embedding of Temporal Networks Raphaël Romero Jefrey Lijffijt Riccardo Rastelli Marco Corneli Tijl De Bie 31 1 0 27 May 2024
A Differential Geometric View and Explainability of GNN on Evolving Graphs Yazheng Liu Xi Zhang Sihong Xie 17 3 0 11 Mar 2024
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams Chaoyi Chen Dechao Gao Yanfeng Zhang Qiange Wang Zhenbo Fu Xuecang Zhang Junhua Zhu Yu Gu Ge Yu GNN 27 5 0 05 Dec 2023
New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs Raphaël Romero T. D. Bie Jefrey Lijffijt 14 0 0 30 Nov 2023
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance Junjie Yang Matthieu Labeau Steeven Villa OT 14 1 0 28 Sep 2023
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs Jiawen Wang Quan Chen Deze Zeng Zhuo Song Chen Chen Minyi Guo GNN 14 2 0 27 Sep 2023
Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks Erfan Loghmani MohammadAmin Fazli 11 4 0 13 Aug 2023
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs Jintang Li Sheng Tian Ruofan Wu Liang Zhu Welong Zhao Changhua Meng Liang Chen Zibin Zheng Hongzhi Yin 16 10 0 18 May 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 20 14 0 12 Apr 2023
TIGER: Temporal Interaction Graph Embedding with Restarts Yao Zhang Yun Xiong Yongxiang Liao Yiheng Sun Yucheng Jin Xuehao Zheng Yangyong Zhu 11 23 0 13 Feb 2023
A Survey on Temporal Graph Representation Learning and Generative Modeling Shubham Gupta Srikanta J. Bedathur AI4TS AI4CE 11 6 0 25 Aug 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 6 4 0 18 Apr 2022
Graph Neural Networks Designed for Different Graph Types: A Survey J. M. Thomas Alice Moallemy-Oureh Silvia Beddar-Wiesing Clara Holzhuter 13 29 0 06 Apr 2022
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey Yuecai Zhu Fuyuan Lyu Chengming Hu X. Chen Xue Liu AI4TS AI4CE 8 20 0 20 Mar 2022
Understanding microbiome dynamics via interpretable graph representation learning K. Melnyk Kuba Weimann Tim Conrad 11 5 0 02 Mar 2022
Graph Lifelong Learning: A Survey F. Febrinanto Feng Xia Kristen Moore Chandra Thapa Charu C. Aggarwal CLL AI4CE 32 50 0 22 Feb 2022
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 22 22 0 20 Sep 2021
On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions Jianfei Gao Bruno Ribeiro 22 11 0 12 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 31 104 0 08 Mar 2021
Learning Sequence Encoders for Temporal Knowledge Graph Completion Alberto García-Durán Sebastijan Dumancic Mathias Niepert 182 387 0 10 Sep 2018
Dynamic Word Embeddings Robert Bamler Stephan Mandt BDL 150 226 0 27 Feb 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 228 3,202 0 24 Nov 2016
On the representation and embedding of knowledge bases beyond binary relations Jianfeng Wen Jianxin Li Yongyi Mao Shini Chen Richong Zhang 47 113 0 28 Apr 2016
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization Linhong Zhu Dong Guo Junming Yin Greg Ver Steeg Aram Galstyan 43 198 0 13 Nov 2014