Title
Tango: rethinking quantization for graph neural network training on GPUsInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2023 Shiyang Chen Da Zheng Caiwen Ding Chengying Huan Yuede Ji Hang Liu GNN MQ 134 9 0 02 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 22 0 14 Jul 2023
Serving Graph Neural Networks With Distributed Fog Servers For Smart IoT ServicesIEEE/ACM Transactions on Networking (TON), 2023 Liekang Zeng Xu Chen Peng Huang Ke Luo Xiaoxi Zhang Zhi Zhou GNN 137 10 0 04 Jul 2023
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge GraphsIEEE International Conference on Data Engineering (ICDE), 2023 Dalong Zhang Xianzheng Song Zhiyang Hu Yang Li Miao Tao Binbin Hu Lin Wang Qing Cui Jun Zhou GNN 169 4 0 01 Jul 2023
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage AccessesProceedings of the VLDB Endowment (PVLDB), 2023 Jeongmin Brian Park Vikram Sharma Mailthody Zaid Qureshi Wen-mei W. Hwu GNN 189 26 0 28 Jun 2023
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional NetworksInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2023 Saket Gurukar S. Venkatakrishnan B. Ravindran Srinivas Parthasarathy GNN 120 0 0 25 Jun 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 181 32 0 24 Jun 2023
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs Loc Hoang Rita Brugarolas Brufau Ke Ding Bo Wu GNN 128 2 0 23 Jun 2023
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better PracticesWeb Search and Data Mining (WSDM), 2023 Jing Zhu Yuhang Zhou V. Ioannidis Sheng Qian Wei Ai Xiang Song Danai Koutra 217 17 0 01 Jun 2023
Auto-Differentiation of Relational Computations for Very Large Scale Machine LearningInternational Conference on Machine Learning (ICML), 2023 Yu-Shuen Tang Zhimin Ding Dimitrije Jankov Binhang Yuan Daniel Bourgeois C. Jermaine BDL 262 7 0 31 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023 Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 210 50 0 23 May 2023
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness Zeyuan Tan Xiulong Yuan Congjie He Man-Kit Sit Guo Li Xiaoze Liu Baole Ai Kai Zeng Peter R. Pietzuch Kai Zou GNN 104 21 0 18 May 2023
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model AggregationACM Transactions on Knowledge Discovery from Data (TKDD), 2023 Jiong Zhu Aishwarya N. Reganti E-Wen Huang Charles Dickens Nikhil S. Rao Karthik Subbian Danai Koutra GNN FedML 165 7 0 17 May 2023
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and CachingConference on Machine Learning and Systems (MLSys), 2023 Tim Kaler A. Iliopoulos P. Murzynowski Tao B. Schardl C. E. Leiserson Jie Chen GNN 148 20 0 04 May 2023
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs Costas Mavromatis V. Ioannidis Shen Wang Da Zheng Soji Adeshina Jun Ma Han Zhao Christos Faloutsos George Karypis 187 39 0 20 Apr 2023
Graph Mining for Cybersecurity: A SurveyACM Transactions on Knowledge Discovery from Data (TKDD), 2023 Bo Yan Cheng Yang Chuan Shi Yong Fang Qi Li Yanfang Ye Junping Du 276 26 0 02 Apr 2023
Ideal Abstractions for Decision-Focused LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Michael Poli Stefano Massaroli Stefano Ermon Bryan Wilder Eric Horvitz 195 0 0 29 Mar 2023
Distributed Graph Embedding with Information-Oriented Random WalksProceedings of the VLDB Endowment (PVLDB), 2023 Peng Fang Arijit Khan Siqiang Luo Fang Wang Dan Feng Zhenli Li Wei Yin Yu Cao GNN 187 13 0 28 Mar 2023
GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism Sandeep Polisetty Juelin Liu Kobi Falus Yi R. Fung Seung-Hwan Lim Hui Guan Marco Serafini GNN 344 12 0 24 Mar 2023
Towards a GML-Enabled Knowledge Graph PlatformIEEE International Conference on Data Engineering (ICDE), 2023 Hussein Abdallah Essam Mansour 143 5 0 03 Mar 2023
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous PlatformIEEE Transactions on Parallel and Distributed Systems (TPDS), 2023 Yi-Chien Lin Bingyi Zhang Viktor Prasanna GNN 119 11 0 02 Mar 2023
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication Mengdie Zhang Qi Hu Yang Liu Yonggang Wen Tianwei Zhang GNN 122 7 0 02 Mar 2023
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous ArchitectureIEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023 Yi-Chien Lin Viktor Prasanna GNN 135 7 0 01 Mar 2023
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing ApproachIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2023 Mahmoud Nazzal Abdallah Khreishah Joyoung Lee Shaahin Angizi Ala I. Al-Fuqaha Mohsen Guizani 163 14 0 28 Feb 2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning ResearchKnowledge Discovery and Data Mining (KDD), 2023 Arpandeep Khatua Vikram Sharma Mailthody Bhagyashree Taleka Tengfei Ma Xiang Song Wen-mei W. Hwu AI4CE 210 47 0 27 Feb 2023
Scalable Neural Network Training over Distributed Graphs Aashish Kolluri Sarthak Choudhary Bryan Hooi Prateek Saxena GNN 165 0 0 25 Feb 2023
Reply to: Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problemsNature Machine Intelligence (Nat. Mach. Intell.), 2022 M. Schuetz J. K. Brubaker H. Katzgraber 110 3 0 03 Feb 2023
Reply to: Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent setNature Machine Intelligence (Nat. Mach. Intell.), 2022 M. Schuetz J. K. Brubaker H. Katzgraber 114 10 0 03 Feb 2023
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network TrainingProceedings of the VLDB Endowment (PVLDB), 2023 Kezhao Huang Haitian Jiang Minjie Wang Guangxuan Xiao David Wipf Xiang Song Quan Gan Zengfeng Huang Jidong Zhai Zheng Zhang GNN 361 8 0 18 Jan 2023
Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU ArchitecturesInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023 Kun Wu Mert Hidayetoğlu Xiang Song Sitao Huang Da Zheng Israt Nisa Wen-mei W. Hwu GNN 196 6 0 16 Jan 2023
Tuning the Tail Latency of Distributed Queries Using Replication Nathan Ng Hung-Cuong Le Marco Serafini 76 0 0 20 Dec 2022
ABC: Aggregation before Communication, a Communication Reduction Framework for Distributed Graph Neural Network Training and Effective Partition Junwei Su GNN 81 0 0 11 Dec 2022
Scalable Graph Convolutional Network Training on Distributed-Memory SystemsProceedings of the VLDB Endowment (PVLDB), 2022 G. Demirci Aparajita Haldar Hakan Ferhatosmanoglu GNN 254 15 0 09 Dec 2022
DGI: Easy and Efficient Inference for GNNs Peiqi Yin Xiao Yan Jinjing Zhou Qiang Fu Zhenkun Cai James Cheng Bo Tang Minjie Wang GNN 158 4 0 28 Nov 2022
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry Hatem Helal J. Firoz Jenna A. Bilbrey M. M. Krell Tom Murray Ang Li S. Xantheas Sutanay Choudhury GNN 215 5 0 25 Nov 2022
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling Md. Vasimuddin Ramanarayan Mohanty Sanchit Misra Sasikanth Avancha GNN 99 1 0 11 Nov 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
Distributed Graph Neural Network Training: A SurveyACM Computing Surveys (ACM CSUR), 2022 Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Tengjiao Wang Lei Chen GNN AI4CE 350 83 0 01 Nov 2022
GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge ServersIEEE Journal on Selected Areas in Communications (JSAC), 2022 Liekang Zeng Chong Yang Peng Huang Zhi Zhou Shuai Yu Xu Chen GNN 165 42 0 31 Oct 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse ComputationsInternational Conference on Machine Learning (ICML), 2022 Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Helen Zhou 250 22 0 19 Oct 2022
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory CachingProceedings of the VLDB Endowment (PVLDB), 2022 Yeonhong Park Sunhong Min Jae W. Lee GNN 108 46 0 19 Aug 2022
GNN Transformation Framework for Improving Efficiency and Scalability Seiji Maekawa Yuya Sasaki G. Fletcher Makoto Onizuka GNN 108 2 0 25 Jul 2022
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory Yuwei Hu Jiajie Li Zhongming Yu Zhiru Zhang GNN 158 0 0 25 Jul 2022
TF-GNN: Graph Neural Networks in TensorFlow Oleksandr Ferludin Neslihan Bulut Martin J. Blais Dustin Zelle Jan Pfeifer ... Anton Tsitsulin Kevin Villela Lisa Wang David Wong Bryan Perozzi GNN 171 41 0 07 Jul 2022
Nimble GNN Embedding with Tensor-Train DecompositionKnowledge Discovery and Data Mining (KDD), 2022 Chunxing Yin Da Zheng Israt Nisa Christos Faloutsos George Karypis R. Vuduc GNN 152 18 0 21 Jun 2022
Graph Attention Multi-Layer PerceptronKnowledge Discovery and Data Mining (KDD), 2022 Wentao Zhang Ziqi Yin Zeang Sheng Yan Zhao Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Tengjiao Wang GNN AI4CE 169 124 0 09 Jun 2022
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization Zheng Chai Guangji Bai Bo Pan Yue Cheng GNN 152 3 0 31 May 2022
A Graph and Attentive Multi-Path Convolutional Network for Traffic PredictionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Jianzhong Qi Zhuowei Zhao E. Tanin Tingru Cui Neema Nassir Majid Sarvi GNN 154 41 0 30 May 2022
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at PinterestProceedings of the VLDB Endowment (PVLDB), 2022 Saket Gurukar Nikil Pancha Andrew Zhai Eric Kim Samson Hu Srinivas Parthasarathy Charles R. Rosenberg J. Leskovec 278 19 0 21 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency AnalysisIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Maciej Besta Torsten Hoefler GNN 382 71 0 19 May 2022