Title
E2E-GRec: An End-to-End Joint Training Framework for Graph Neural Networks and Recommender Systems Rui Xue Shichao Zhu Liang Qin Guangmou Pan Yang Song Tianfu Wu GNN 128 0 0 25 Nov 2025
HyperGraphX: Graph Transductive Learning with Hyperdimensional Computing and Message Passing Guojing Cong T. Potok Hamed Poursiami Maryam Parsa 68 1 0 28 Oct 2025
RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Arefin Niam T. Kosar M. S. Q. Z. Nine GNN 68 0 0 05 Sep 2025
PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training Seth Ockerman Amal Gueroudji Tanwi Mallick Yixuan He Line Pouchard Robert B. Ross Shivaram Venkataraman GNN 290 1 0 15 Jul 2025
GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge NetworkInformation Fusion (Inf. Fusion), 2025 Wenjing Xiao Chenglong Shi Miaojiang Chen Zhiquan Liu Min Chen Haiwen Song 143 2 0 22 Apr 2025
Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACEIEEE International Symposium on High-Performance Parallel Distributed Computing (HPDC), 2025 J. Firoz Franco Pellegrini Mario Geiger Darren J. Hsu Jenna A. Bilbrey ... Chris Mundy Gábor Csányi Justin S. Smith Ponnuswamy Sadayappan Sutanay Choudhury 235 2 0 14 Apr 2025
Deal: Distributed End-to-End GNN Inference for All Nodes Shiyang Chen Xiang Song Vasiloudis Theodore Hang Liu GNN 187 1 0 04 Mar 2025
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks R. Waleffe Devesh Sarda J. Mohoney Emmanouil-Vasileios Vlatakis-Gkaragkounis Theodoros Rekatsinas Shivaram Venkataraman GNN 254 0 0 25 Feb 2025
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor ParallelismProceedings of the VLDB Endowment (PVLDB), 2024 Xin Ai Hao Yuan Zeyu Ling Qiange Wang Yanfeng Zhang Zhenbo Fu Chaoyi Chen Yu Gu Ge Yu GNN 316 6 0 29 Dec 2024
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Siddharth Ambekar Yuhang Yao Ryan Li Carlee Joe-Wong FedML 267 1 0 20 Dec 2024
Graph Neural Networks on Graph Databases Dmytro Lopushanskyy Borun Shi GNN 210 1 0 18 Nov 2024
Bitcoin Research with a Transaction Graph DatasetScientific Data (Sci Data), 2024 Hugo Schnoering Michalis Vazirgiannis GNN 193 2 0 15 Nov 2024
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed GraphsIEEE International Conference on Cluster Computing (Cluster), 2024 Aishwarya Sarkar Sayan Ghosh Nathan Tallent Ali Jannesari GNN 212 2 0 30 Oct 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor NetworksJournal of Network and Computer Applications (JNCA), 2024 Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 465 6 0 28 Oct 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large ScaleInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024 Zeyu Zhu Peisong Wang Qinghao Hu Gang Li Xiaoyao Liang Jian Cheng GNN 159 3 0 23 Sep 2024
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental StudyProceedings of the VLDB Endowment (PVLDB), 2024 Nikolai Merkel Pierre Toussing R. Mayer Hans-Arno Jacobsen GNN 229 5 0 17 Sep 2024
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural NetworksProceedings of the VLDB Endowment (PVLDB), 2024 Rustam Guliyev Aparajita Haldar Hakan Ferhatosmanoglu GNN 156 3 0 10 Sep 2024
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration Weijian Chen Shuibing He Haoyang Qu Xuechen Zhang GNN 228 1 0 01 Sep 2024
Slicing Input Features to Accelerate Deep Learning: A Case Study with Graph Neural Networks Zhengjia Xu Dingyang Lyu Jinghui Zhang GNN 205 0 0 21 Aug 2024
Heta: Distributed Training of Heterogeneous Graph Neural NetworksProceedings of the VLDB Endowment (PVLDB), 2024 Yuchen Zhong Junwei Su Chuan Wu Minjie Wang 232 1 0 19 Aug 2024
CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph Neural Network Training with Communication Reduction Shuai Zhang Zite Jiang Haihang You GNN 213 2 0 01 Aug 2024
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme Jeongmin Brian Park Kun Wu Vikram Sharma Mailthody Zaid Quresh Scott Mahlke Wen-mei W. Hwu GNN 222 2 0 21 Jul 2024
Distributed Training of Large Graph Neural Networks with Variable Communication Rates J. Cerviño Md Asadullah Turja Hesham Mostafa N. Himayat Alejandro Ribeiro GNN AI4CE 258 1 0 25 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
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch Saurabh Bajaj Hui Guan Marco Serafini GNN 229 7 0 01 Jun 2024
Survey of Graph Neural Network for Internet of Things and NextG Networks Sabarish Krishna Moorthy Jithin Jagannath 195 9 0 27 May 2024
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training Renjie Liu Yichuan Wang Xiao Yan Zhenkun Cai Minjie Wang Haitian Jiang Bo Tang Jinyang Li GNN 284 8 0 08 May 2024
SDT-GNN: Streaming-based Distributed Training Framework for Graph Neural Networks Xin Huang Weipeng Zhuo Minh Phu Vuong Shiju Li Jongryool Kim Bradley Rees Chul-Ho Lee GNN 202 1 0 02 Apr 2024
A Unified CPU-GPU Protocol for GNN Training Yi-Chien Lin Gangda Deng Viktor Prasanna GNN 3DH 108 4 0 25 Mar 2024
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient ModelingIEEE International Conference on Data Engineering (ICDE), 2024 Hussein Abdallah Waleed Afandi Panos Kalnis Essam Mansour 138 4 0 09 Mar 2024
Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale Yangxin Fan Raymond J. Wieser L. Bruckman R. French Yinghui Wu 124 2 0 13 Feb 2024
Single-GPU GNN Systems: Traps and Pitfalls Yidong Gong A. Tarafder Saima Afrin Pradeep Kumar GNN 208 2 0 05 Feb 2024
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs Zhongshu Zhu Bin Jing Xiaopei Wan Zhizhen Liu Lei Liang Jun Zhou 103 2 0 06 Jan 2024
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training Charles Dickens E-Wen Huang Aishwarya N. Reganti Jiong Zhu Karthik Subbian Danai Koutra 151 14 0 24 Dec 2023
Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphs Juraj Vladika Alexander Fichtl Florian Matthes KELM 192 1 0 21 Dec 2023
CUTTANA: Scalable Graph Partitioning for Faster Distributed Graph Databases and AnalyticsProceedings of the VLDB Endowment (PVLDB), 2023 Milad Rezaei Hajidehi Sraavan Sridhar Margo Seltzer 191 5 0 13 Dec 2023
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 185 13 0 05 Dec 2023
FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs Hesham Mostafa Adam Grabowski Md Asadullah Turja J. Cerviño Alejandro Ribeiro N. Himayat GNN 158 1 0 29 Nov 2023
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading) Qiange Wang Yao Chen Weng-Fai Wong Bingsheng He GNN 115 25 0 25 Nov 2023
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous EnvironmentsProceedings of the VLDB Endowment (PVLDB), 2023 Xin Ai Qiange Wang Chunyu Cao Yanfeng Zhang Chaoyi Chen Hao Yuan Yu Gu Ge Yu GNN 176 13 0 22 Nov 2023
GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large ClustersInternational Conference on Parallel Architectures and Compilation Techniques (PACT), 2023 Jaeyong Song Hongsun Jang Jaewon Jung Youngsok Kim Jinho Lee GNN 135 0 0 12 Nov 2023
Distributed Matrix-Based Sampling for Graph Neural Network TrainingConference on Machine Learning and Systems (MLSys), 2023 Alok Tripathy Katherine Yelick A. Buluç 123 5 0 06 Nov 2023
Entropy Aware Training for Fast and Accurate Distributed GNNIndustrial Conference on Data Mining (IDM), 2023 Dhruv Deshmukh Gagan Raj Gupta Manisha Chawla Vishwesh Jatala Anirban Haldar 222 1 0 04 Nov 2023
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance Jie Sun Mo Sun Zheng Zhang Jun Xie Zuocheng Shi Zihan Yang Jie Zhang Leilei Gan Zeke Wang GNN 113 8 0 02 Oct 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
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network TrainingInternational Conference on Extending Database Technology (EDBT), 2023 Nikolai Merkel Daniel Stoll R. Mayer Hans-Arno Jacobsen GNN 216 2 0 29 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 204 9 0 27 Aug 2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding PredictionSDM (SDM), 2023 Guangji Bai Ziyang Yu Zheng Chai Yue Cheng Bo Pan GNN 174 5 0 25 Aug 2023
GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism Jingji Chen Zhuoming Chen Xuehai Qian GNN AI4CE 129 4 0 19 Aug 2023
Communication-Free Distributed GNN Training with Vertex Cut Kaidi Cao Rui Deng Shirley Wu E-Wen Huang Karthik Subbian J. Leskovec GNN 189 4 0 06 Aug 2023

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DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs

Workshop on Irregular Applications: Architectures and Algorithms (IAAA), 2020

11 October 2020

George Karypis

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Papers citing "DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs"

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Title
E2E-GRec: An End-to-End Joint Training Framework for Graph Neural Networks and Recommender Systems Rui Xue Shichao Zhu Liang Qin Guangmou Pan Yang Song Tianfu Wu GNN 128 0 0 25 Nov 2025
HyperGraphX: Graph Transductive Learning with Hyperdimensional Computing and Message Passing Guojing Cong T. Potok Hamed Poursiami Maryam Parsa 68 1 0 28 Oct 2025
RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Arefin Niam T. Kosar M. S. Q. Z. Nine GNN 68 0 0 05 Sep 2025
PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training Seth Ockerman Amal Gueroudji Tanwi Mallick Yixuan He Line Pouchard Robert B. Ross Shivaram Venkataraman GNN 290 1 0 15 Jul 2025
GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge NetworkInformation Fusion (Inf. Fusion), 2025 Wenjing Xiao Chenglong Shi Miaojiang Chen Zhiquan Liu Min Chen Haiwen Song 143 2 0 22 Apr 2025
Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACEIEEE International Symposium on High-Performance Parallel Distributed Computing (HPDC), 2025 J. Firoz Franco Pellegrini Mario Geiger Darren J. Hsu Jenna A. Bilbrey ... Chris Mundy Gábor Csányi Justin S. Smith Ponnuswamy Sadayappan Sutanay Choudhury 235 2 0 14 Apr 2025
Deal: Distributed End-to-End GNN Inference for All Nodes Shiyang Chen Xiang Song Vasiloudis Theodore Hang Liu GNN 187 1 0 04 Mar 2025
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks R. Waleffe Devesh Sarda J. Mohoney Emmanouil-Vasileios Vlatakis-Gkaragkounis Theodoros Rekatsinas Shivaram Venkataraman GNN 254 0 0 25 Feb 2025
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor ParallelismProceedings of the VLDB Endowment (PVLDB), 2024 Xin Ai Hao Yuan Zeyu Ling Qiange Wang Yanfeng Zhang Zhenbo Fu Chaoyi Chen Yu Gu Ge Yu GNN 316 6 0 29 Dec 2024
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Siddharth Ambekar Yuhang Yao Ryan Li Carlee Joe-Wong FedML 267 1 0 20 Dec 2024
Graph Neural Networks on Graph Databases Dmytro Lopushanskyy Borun Shi GNN 210 1 0 18 Nov 2024
Bitcoin Research with a Transaction Graph DatasetScientific Data (Sci Data), 2024 Hugo Schnoering Michalis Vazirgiannis GNN 193 2 0 15 Nov 2024
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed GraphsIEEE International Conference on Cluster Computing (Cluster), 2024 Aishwarya Sarkar Sayan Ghosh Nathan Tallent Ali Jannesari GNN 212 2 0 30 Oct 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor NetworksJournal of Network and Computer Applications (JNCA), 2024 Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 465 6 0 28 Oct 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large ScaleInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024 Zeyu Zhu Peisong Wang Qinghao Hu Gang Li Xiaoyao Liang Jian Cheng GNN 159 3 0 23 Sep 2024
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental StudyProceedings of the VLDB Endowment (PVLDB), 2024 Nikolai Merkel Pierre Toussing R. Mayer Hans-Arno Jacobsen GNN 229 5 0 17 Sep 2024
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural NetworksProceedings of the VLDB Endowment (PVLDB), 2024 Rustam Guliyev Aparajita Haldar Hakan Ferhatosmanoglu GNN 156 3 0 10 Sep 2024
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration Weijian Chen Shuibing He Haoyang Qu Xuechen Zhang GNN 228 1 0 01 Sep 2024
Slicing Input Features to Accelerate Deep Learning: A Case Study with Graph Neural Networks Zhengjia Xu Dingyang Lyu Jinghui Zhang GNN 205 0 0 21 Aug 2024
Heta: Distributed Training of Heterogeneous Graph Neural NetworksProceedings of the VLDB Endowment (PVLDB), 2024 Yuchen Zhong Junwei Su Chuan Wu Minjie Wang 232 1 0 19 Aug 2024
CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph Neural Network Training with Communication Reduction Shuai Zhang Zite Jiang Haihang You GNN 213 2 0 01 Aug 2024
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme Jeongmin Brian Park Kun Wu Vikram Sharma Mailthody Zaid Quresh Scott Mahlke Wen-mei W. Hwu GNN 222 2 0 21 Jul 2024
Distributed Training of Large Graph Neural Networks with Variable Communication Rates J. Cerviño Md Asadullah Turja Hesham Mostafa N. Himayat Alejandro Ribeiro GNN AI4CE 258 1 0 25 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
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch Saurabh Bajaj Hui Guan Marco Serafini GNN 229 7 0 01 Jun 2024
Survey of Graph Neural Network for Internet of Things and NextG Networks Sabarish Krishna Moorthy Jithin Jagannath 195 9 0 27 May 2024
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training Renjie Liu Yichuan Wang Xiao Yan Zhenkun Cai Minjie Wang Haitian Jiang Bo Tang Jinyang Li GNN 284 8 0 08 May 2024
SDT-GNN: Streaming-based Distributed Training Framework for Graph Neural Networks Xin Huang Weipeng Zhuo Minh Phu Vuong Shiju Li Jongryool Kim Bradley Rees Chul-Ho Lee GNN 202 1 0 02 Apr 2024
A Unified CPU-GPU Protocol for GNN Training Yi-Chien Lin Gangda Deng Viktor Prasanna GNN 3DH 108 4 0 25 Mar 2024
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient ModelingIEEE International Conference on Data Engineering (ICDE), 2024 Hussein Abdallah Waleed Afandi Panos Kalnis Essam Mansour 138 4 0 09 Mar 2024
Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale Yangxin Fan Raymond J. Wieser L. Bruckman R. French Yinghui Wu 124 2 0 13 Feb 2024
Single-GPU GNN Systems: Traps and Pitfalls Yidong Gong A. Tarafder Saima Afrin Pradeep Kumar GNN 208 2 0 05 Feb 2024
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs Zhongshu Zhu Bin Jing Xiaopei Wan Zhizhen Liu Lei Liang Jun Zhou 103 2 0 06 Jan 2024
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training Charles Dickens E-Wen Huang Aishwarya N. Reganti Jiong Zhu Karthik Subbian Danai Koutra 151 14 0 24 Dec 2023
Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphs Juraj Vladika Alexander Fichtl Florian Matthes KELM 192 1 0 21 Dec 2023
CUTTANA: Scalable Graph Partitioning for Faster Distributed Graph Databases and AnalyticsProceedings of the VLDB Endowment (PVLDB), 2023 Milad Rezaei Hajidehi Sraavan Sridhar Margo Seltzer 191 5 0 13 Dec 2023
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 185 13 0 05 Dec 2023
FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs Hesham Mostafa Adam Grabowski Md Asadullah Turja J. Cerviño Alejandro Ribeiro N. Himayat GNN 158 1 0 29 Nov 2023
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading) Qiange Wang Yao Chen Weng-Fai Wong Bingsheng He GNN 115 25 0 25 Nov 2023
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous EnvironmentsProceedings of the VLDB Endowment (PVLDB), 2023 Xin Ai Qiange Wang Chunyu Cao Yanfeng Zhang Chaoyi Chen Hao Yuan Yu Gu Ge Yu GNN 176 13 0 22 Nov 2023
GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large ClustersInternational Conference on Parallel Architectures and Compilation Techniques (PACT), 2023 Jaeyong Song Hongsun Jang Jaewon Jung Youngsok Kim Jinho Lee GNN 135 0 0 12 Nov 2023
Distributed Matrix-Based Sampling for Graph Neural Network TrainingConference on Machine Learning and Systems (MLSys), 2023 Alok Tripathy Katherine Yelick A. Buluç 123 5 0 06 Nov 2023
Entropy Aware Training for Fast and Accurate Distributed GNNIndustrial Conference on Data Mining (IDM), 2023 Dhruv Deshmukh Gagan Raj Gupta Manisha Chawla Vishwesh Jatala Anirban Haldar 222 1 0 04 Nov 2023
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance Jie Sun Mo Sun Zheng Zhang Jun Xie Zuocheng Shi Zihan Yang Jie Zhang Leilei Gan Zeke Wang GNN 113 8 0 02 Oct 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
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network TrainingInternational Conference on Extending Database Technology (EDBT), 2023 Nikolai Merkel Daniel Stoll R. Mayer Hans-Arno Jacobsen GNN 216 2 0 29 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 204 9 0 27 Aug 2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding PredictionSDM (SDM), 2023 Guangji Bai Ziyang Yu Zheng Chai Yue Cheng Bo Pan GNN 174 5 0 25 Aug 2023
GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism Jingji Chen Zhuoming Chen Xuehai Qian GNN AI4CE 129 4 0 19 Aug 2023
Communication-Free Distributed GNN Training with Vertex Cut Kaidi Cao Rui Deng Shirley Wu E-Wen Huang Karthik Subbian J. Leskovec GNN 189 4 0 06 Aug 2023

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