Temporal Graph Networks for Deep Learning on Dynamic Graphs

18 June 2020

Papers citing "Temporal Graph Networks for Deep Learning on Dynamic Graphs"

50 / 90 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 29 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 51 0 0 01 May 2025
PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph Shengtao Zhang Haokai Zhang Shiqi Lou Zicheng Wang Zinan Zeng Yilin Wang Minnan Luo 64 0 0 24 Apr 2025
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization Yankai Chen Taotao Wang Yixiang Fang Yunyu Xiao BDL 98 1 0 26 Mar 2025
TiGer: Self-Supervised Purification for Time-evolving Graphs Hyeonsoo Jo Jongha Lee Fanchen Bu Kijung Shin 41 0 0 10 Mar 2025
Edge Prompt Tuning for Graph Neural Networks Xingbo Fu Yinhan He Jundong Li 48 1 0 02 Mar 2025
What makes a good feedforward computational graph? Alex Vitvitskyi J. G. Araújo Marc Lackenby Petar Velickovic 80 1 0 10 Feb 2025
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
Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Jiaxing Qi Chang Zeng Zhongzhi Luan Shaohan Huang S. Yang Yao Lu Hailong Yang D. Qian 34 0 0 21 Jan 2025
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs He Yu J. Liu 31 0 0 21 Jan 2025
TFLAG:Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph Wenhan Jiang Tingting Chai Hongri Liu Kai Wang Hongke Zhang 39 0 0 13 Jan 2025
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours Yuxin Yang Hongkuan Zhou R. Kannan Viktor Prasanna 30 0 0 31 Dec 2024
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures Joao Bravo Jacopo Bono Pedro Saleiro Hugo Ferreira P. Bizarro 32 0 0 31 Dec 2024
THeGCN: Temporal Heterophilic Graph Convolutional Network Yuchen Yan Yuzhong Chen Huiyuan Chen Xiaoting Li Zhe Xu Zhichen Zeng Lihui Liu Zhining Liu Hanghang Tong 84 0 0 21 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 106 0 0 15 Dec 2024
Federated Temporal Graph Clustering Yang Liu Z. Zhou Xianghong Xu Q. Li FedML 72 0 0 16 Oct 2024
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks Dingyi Zhuang Yuheng Bu Guang Wang Shenhao Wang Jinhua Zhao BDL 32 1 0 13 Sep 2024
Retrieval Augmented Generation for Dynamic Graph Modeling Yuxia Wu Lizi Liao Yuan Fang 49 3 0 26 Aug 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 39 1 0 26 Jul 2024
Efficient and Effective Implicit Dynamic Graph Neural Network Yongjian Zhong Hieu Vu Tianbao Yang Bijaya Adhikari GNN 40 0 0 25 Jun 2024
Efficient Neural Common Neighbor for Temporal Graph Link Prediction Xiaohui Zhang Yanbo Wang Xiyuan Wang Muhan Zhang 26 1 0 12 Jun 2024
AGALE: A Graph-Aware Continual Learning Evaluation Framework Tianqi Zhao Alan Hanjalic Megha Khosla 27 1 0 03 Jun 2024
Gaussian Embedding of Temporal Networks Raphaël Romero Jefrey Lijffijt Riccardo Rastelli Marco Corneli Tijl De Bie 37 1 0 27 May 2024
A Differential Geometric View and Explainability of GNN on Evolving Graphs Yazheng Liu Xi Zhang Sihong Xie 19 3 0 11 Mar 2024
Relational Deep Learning: Graph Representation Learning on Relational Databases Matthias Fey Weihua Hu Kexin Huang J. E. Lenssen Rishabh Ranjan Joshua Robinson Rex Ying Jiaxuan You J. Leskovec GNN 40 30 0 07 Dec 2023
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 33 5 0 05 Dec 2023
New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs Raphaël Romero T. D. Bie Jefrey Lijffijt 19 0 0 30 Nov 2023
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive Hongjiang Chen Pengfei Jiao Huijun Tang Huaming Wu 13 8 0 07 Nov 2023
Asynchronous Graph Generator Christopher P. Ley Felipe Tobar AI4TS 43 0 0 29 Sep 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 26 10 0 31 Aug 2023
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding Xiangshan Chen Yongxiang Liao Yun Xiong Yao Zhang Si-Yuan Zhang Jiawei Zhang Yiheng Sun 21 6 0 27 Aug 2023
Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks Erfan Loghmani MohammadAmin Fazli 16 4 0 13 Aug 2023
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training Hongkuan Zhou Da Zheng Xiang Song George Karypis Viktor Prasanna GNN 21 13 0 14 Jul 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 36 6 0 06 Jul 2023
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers Alan John Varghese Aniruddha Bora Mengjia Xu George Karniadakis 31 5 0 05 Jul 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders Dingsu Wang Yuchen Yan Ruizhong Qiu Yada Zhu Kaiyu Guan A. Margenot Hanghang Tong AI4TS 35 27 0 29 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 35 23 0 23 May 2023
Deep Temporal Graph Clustering Meng Liu Yue Liu K. Liang Wenxuan Tu Siwei Wang Sihang Zhou Xinwang Liu 30 47 0 18 May 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 29 10 0 18 May 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
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 34 14 0 12 Apr 2023
Towards Open Temporal Graph Neural Networks Kaituo Feng Changsheng Li Xiaolu Zhang Jun Zhou AI4CE 22 15 0 27 Mar 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
GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method Xing Tang Ling-Hao Chen AI4TS 14 4 0 22 Feb 2023
TIGER: Temporal Interaction Graph Embedding with Restarts Yao Zhang Yun Xiong Yongxiang Liao Yiheng Sun Yucheng Jin Xuehao Zheng Yangyong Zhu 22 23 0 13 Feb 2023
Interaction Order Prediction for Temporal Graphs N. Bannur Mashrin Srivastava Harsha Vardhan 24 0 0 04 Feb 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network Wendong Bi Bingbing Xu Xiaoqian Sun Li Xu Huawei Shen Xueqi Cheng 20 16 0 02 Feb 2023
Dynamic Graph Node Classification via Time Augmentation Jiarui Sun Mengting Gu Chin-Chia Michael Yeh Yujie Fan Girish Chowdhary Wei Zhang 18 1 0 07 Dec 2022
Directed Acyclic Graph Structure Learning from Dynamic Graphs Shaohua Fan Shuyang Zhang Xiao Wang Chuan Shi CML 36 5 0 30 Nov 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning Jihoon Ko Shinhwan Kang Taehyung Kwon Heechan Moon Kijung Shin CLL 26 7 0 26 Nov 2022