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TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs

Proceedings of the VLDB Endowment (PVLDB), 2022

28 March 2022

George Karypis

Papers citing "TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs"

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Title
TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs Jacob Chmura Shenyang Huang Tran Gia Bao Ngo Ali Parviz Farimah Poursafaei Jure Leskovec Michael M. Bronstein Guillaume Rabusseau Matthias Fey Reihaneh Rabbany AI4CE 104 0 0 08 Oct 2025
Rapid training of Hamiltonian graph networks using random features Atamert Rahma Chinmay Datar Ana Cukarska Felix Dietrich AI4CE 180 0 0 06 Jun 2025
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks Or Feldman Krishna Sri Ipsit Mantri Carola-Bibiane Schönlieb Chaim Baskin Moshe Eliasof AI4TS 153 0 0 09 Apr 2025
Simple yet Effective Node Property Prediction on Edge Streams under Distribution ShiftsIEEE International Conference on Data Engineering (ICDE), 2025 Jongha Lee Taehyung Kwon Heechan Moon Kijung Shin AI4TS 245 0 0 01 Apr 2025
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models Siwei Zhang Yun Xiong Yateng Tang Jiarong Xu Xi Chen Zehao Gu Xuezheng Hao Zian Jia Jiawei Zhang AI4CE 274 2 0 18 Mar 2025
A Selective Learning Method for Temporal Graph Continual Learning Hanmo Liu Hanmo Liu Haoyang Li Xun Jian Yijiao Wang Lei Chen CLL 232 0 0 03 Mar 2025
UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic GraphsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2025 Yuanyuan Xu Wenjie Zhang Xuemin Lin Yanzhe Zhang AI4TS 144 3 0 23 Feb 2025
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU HoursProceedings of the VLDB Endowment (PVLDB), 2024 Yuxin Yang Hongkuan Zhou Rajgopal Kannan Viktor Prasanna 199 1 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 317 3 0 21 Dec 2024
Efficient Dynamic Attributed Graph GenerationIEEE International Conference on Data Engineering (ICDE), 2024 Fan Li Xiaoyang Wang Dawei Cheng Cong Chen Yanzhe Zhang Xuemin Lin 147 5 0 11 Dec 2024
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural NetworksProceedings of the VLDB Endowment (PVLDB), 2024 Rustam Guliyev Aparajita Haldar Hakan Ferhatosmanoglu GNN 144 3 0 10 Sep 2024
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning Xi Chen Yun Xiong Siwei Zhang Jiawei Zhang Yao Zhang Shiyang Zhou Xixi Wu Mingyang Zhang Tengfei Liu Weiqiang Wang AI4CE 242 5 0 26 Jul 2024
Curriculum Negative Mining For Temporal Networks Ziyue Chen Tongya Zheng Mingli Song 166 3 0 24 Jul 2024
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs Jiasheng Zhang Jialin Chen Menglin Yang Aosong Feng Shuang Liang Jie Shao Rex Ying 218 16 0 17 Jun 2024
GraphStorm: all-in-one graph machine learning framework for industry applicationsKnowledge Discovery and Data Mining (KDD), 2024 Da Zheng Xiang Song Qi Zhu Jian Zhang Theodore Vasiloudis ... Qingjun Cui Huzefa Rangwala Belinda Zeng Christos Faloutsos George Karypis AI4TS AI4CE VLM 155 6 0 10 Jun 2024
From Link Prediction to Forecasting: Addressing Challenges in Batch-based Temporal Graph Learning Moritz Lampert Christopher Blöcker Ingo Scholtes 267 1 0 07 Jun 2024
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network Chenglin Li Yuanzhen Xie Chenyun Yu Lei Cheng Bo Hu Zang Li Di Niu 137 0 0 11 May 2024
A survey of dynamic graph neural networks Yanping Zheng Lu Yi Zhewei Wei AI4TS AI4CE 160 43 0 28 Apr 2024
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning Gangda Deng Hongkuan Zhou Hanqing Zeng Yinglong Xia Christopher Leung Jianbo Li Rajgopal Kannan Viktor Prasanna 223 3 0 08 Feb 2024
Disentangled Condensation for Large-scale Graphs Zhenbang Xiao Shunyu Liu Yu Wang Tongya Zheng Weilong Dai Mingli Song Tongya Zheng DD 472 10 0 18 Jan 2024
Kairos: Efficient Temporal Graph Analytics on a Single Machine Joana M. F. da Trindade Julian Shun Samuel Madden Nesime Tatbul 90 3 0 04 Jan 2024
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph StreamsProceedings of the VLDB Endowment (PVLDB), 2023 Chaoyi Chen Dechao Gao Yanfeng Zhang Qiange Wang Zhenbo Fu Xuecang Zhang Junhua Zhu Yu Gu Ge Yu GNN 177 13 0 05 Dec 2023
Understanding Opinions Towards Climate Change on Social Media Yashaswi Pupneja Joseph Zou Sacha Lévy Shenyang Huang 123 3 0 02 Dec 2023
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning Jintang Li Jiawang Dan Ruofan Wu Jing Zhou Sheng Tian ... Changhua Meng Weiqiang Wang Yuchang Zhu Liang Chen Zibin Zheng AI4CE 163 0 0 28 Nov 2023
DURENDAL: Graph deep learning framework for temporal heterogeneous networks Manuel Dileo Matteo Zignani S. Gaito 285 1 0 30 Sep 2023
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks Fahao Chen Peng Li Celimuge Wu GNN 119 8 0 07 Sep 2023
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence PreservationInternational Conference on Information and Knowledge Management (CIKM), 2023 Siwei Zhang Yun Xiong Yao Zhang Xixi Wu Yiheng Sun Jiawei Zhang AI4TS 205 6 0 05 Sep 2023
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural NetworksIEEE International Conference on Data Engineering (ICDE), 2023 Qian Huang Jiawei Jiang Xi Rao Ce Zhang Zhichao Han ... Quanqing Xu Yang Zhao Chuang Hu Shuo Shang Bo Du 125 9 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 184 9 0 27 Aug 2023
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic GraphsAAAI Conference on Artificial Intelligence (AAAI), 2023 Dongjin Lee Juho Lee Kijung Shin AAML 233 4 0 21 Aug 2023
DistTGL: Distributed Memory-Based Temporal Graph Neural Network TrainingInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2023 Hongkuan Zhou Da Zheng Xiang Song George Karypis Viktor Prasanna GNN 149 21 0 14 Jul 2023
Temporal Graph Benchmark for Machine Learning on Temporal GraphsNeural Information Processing Systems (NeurIPS), 2023 Shenyang Huang Farimah Poursafaei Jacob Danovitch Matthias Fey Weihua Hu Emanuele Rossi J. Leskovec Michael M. Bronstein Guillaume Rabusseau Reihaneh Rabbany 261 140 0 03 Jul 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware Shichang Zhang Atefeh Sohrabizadeh Cheng Wan Zijie Huang Ziniu Hu Yewen Wang Yingyan Lin Lin Jason Cong Luke Huan GNN AI4CE 177 32 0 24 Jun 2023
Decoupled Graph Neural Networks for Large Dynamic GraphsProceedings of the VLDB Endowment (PVLDB), 2023 Yanping Zheng Zhewei Wei Jiajun Liu GNN BDL AI4TS AI4CE 103 22 0 14 May 2023
Analysis of different temporal graph neural network configurations on dynamic graphs Rishu Verma Ashmita Bhattacharya Sai Naveen Katla 75 1 0 02 May 2023
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network InferenceIEEE Symposium on Field-Programmable Custom Computing Machines (FCCM), 2023 Han-Chen Chen Cong Hao GNN AI4CE 195 10 0 13 Apr 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified LibraryNeural Information Processing Systems (NeurIPS), 2023 Le Yu Leilei Sun Bowen Du Weifeng Lv AI4CE 353 176 0 23 Mar 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation LearningProceedings of the VLDB Endowment (PVLDB), 2023 Haoteng Yin Muhan Zhang Jianguo Wang Pan Li 370 10 0 06 Mar 2023
Do We Really Need Complicated Model Architectures For Temporal Networks?International Conference on Learning Representations (ICLR), 2023 Weilin Cong Si Zhang Jian Kang Baichuan Yuan Hao Wu Xin Zhou Hanghang Tong Mehrdad Mahdavi GNN AI4TS 169 167 0 22 Feb 2023
TIGER: Temporal Interaction Graph Embedding with RestartsThe Web Conference (WWW), 2023 Yao Zhang Yun Xiong Yongxiang Liao Yiheng Sun Yucheng Jin Xuehao Zheng Yangyong Zhu 136 32 0 13 Feb 2023
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities Antonio Longa Veronica Lachi G. Santin Monica Bianchini Bruno Lepri Pietro Lio F. Scarselli Baptiste Caramiaux AI4CE 433 83 0 02 Feb 2023
Spatio-Temporal Graph Neural Networks: A Survey Zahraa Al Sahili M. Awad GNN AI4TS 140 36 0 25 Jan 2023
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUsACM SIGPLAN Symposium on Principles & Practice of Parallel Programming (PPoPP), 2023 Chunyang Wang Desen Sun Yunru Bai GNN AI4CE 217 23 0 01 Jan 2023
Scalable Graph Convolutional Network Training on Distributed-Memory SystemsProceedings of the VLDB Endowment (PVLDB), 2022 G. Demirci Aparajita Haldar Hakan Ferhatosmanoglu GNN 250 15 0 09 Dec 2022
A Comprehensive Survey on Distributed Training of Graph Neural NetworksProceedings of the IEEE (Proc. IEEE), 2022 Haiyang Lin Yurui Lai Xiaochun Ye Xiaochun Ye Shirui Pan Wenguang Chen Yuan Xie GNN 239 36 0 10 Nov 2022
DyG2Vec: Efficient Representation Learning for Dynamic Graphs Mohammad Ali Alomrani Mahdi Biparva Yingxue Zhang Mark Coates AI4TS 142 6 0 30 Oct 2022
Parameter-free Dynamic Graph Embedding for Link PredictionNeural Information Processing Systems (NeurIPS), 2022 Jiahao Liu Dongsheng Li Hansu Gu Tun Lu Peng Zhang Ning Gu 256 22 0 15 Oct 2022
Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPUIEEE International Symposium on Workload Characterization (IISWC), 2022 Han-Chen Chen Yahya Alhinai Yihan Jiang Eunjee Na Cong Hao GNN AI4CE 197 6 0 08 Oct 2022
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks Yuchen Gui Boyi Wei W. Yuan Xi Jin GNN 179 1 0 07 Sep 2022
Neighborhood-aware Scalable Temporal Network Representation LearningLOG IN (LOG IN), 2022 Yu Luo Pan Li GNN AI4TS 229 63 0 02 Sep 2022