AliGraph: A Comprehensive Graph Neural Network Platform

23 February 2019

Hongxia Yang

Chang Zhou

Yong Li

Jingren Zhou

GNN

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Papers citing "AliGraph: A Comprehensive Graph Neural Network Platform"

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Title
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations Anuroop Sriram Abhishek Das Brandon M. Wood Siddharth Goyal C. L. Zitnick AI4CE 33 27 0 18 Mar 2022
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization Tong Geng Chunshu Wu Yongan Zhang Cheng Tan Chenhao Xie Haoran You Martin C. Herbordt Yingyan Lin Ang Li GNN 18 108 0 07 Mar 2022
PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application Wen Zhang Chi-Man Wong Ganqinag Ye Bo Wen Hongting Zhou Wei Zhang Hua-zeng Chen 19 0 0 02 Mar 2022
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks Ranggi Hwang M. Kang Jiwon Lee D. Kam Youngjoo Lee Minsoo Rhu GNN 18 22 0 01 Mar 2022
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks Yile Chen Xiucheng Li Gao Cong Cheng Long Z. Bao Shang Liu Wanli Gu Fuzheng Zhang 30 11 0 28 Feb 2022
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Yanbang Wang Jianguo Wang Pan Li 13 32 0 28 Feb 2022
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs Yixuan He Xitong Zhang Junjie Huang Benedek Rozemberczki Mihai Cucuringu Gesine Reinert 32 15 0 22 Feb 2022
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks R. Waleffe J. Mohoney Theodoros Rekatsinas Shivaram Venkataraman GNN 36 25 0 04 Feb 2022
Structure Enhanced Graph Neural Networks for Link Prediction Baole Ai Zhou Qin Wen Shen Yong Li 24 7 0 14 Jan 2022
Scaling Knowledge Graph Embedding Models Nasrullah Sheikh Xiao Qin B. Reinwald Chuan Lei 39 5 0 08 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 51 2 0 04 Jan 2022
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs Da Zheng Xiang Song Chengrun Yang Dominique LaSalle George Karypis 3DH GNN 32 57 0 31 Dec 2021
HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform Yi-Chien Lin Bingyi Zhang Viktor Prasanna GNN 19 34 0 22 Dec 2021
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design Sung Une Lee Boming Xia Yongan Zhang Ang Li Yingyan Lin GNN 60 48 0 22 Dec 2021
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing Tianfeng Liu Yangrui Chen Dan Li Chuan Wu Yibo Zhu Jun He Size Zheng Hongzheng Chen Hongzhi Chen Chuanxiong Guo GNN 34 77 0 16 Dec 2021
A Review on Graph Neural Network Methods in Financial Applications Jianian Wang Shenmin Zhang Yanghua Xiao Rui Song AI4TS 31 104 0 27 Nov 2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 14 37 0 12 Nov 2021
Graph Neural Network Training with Data Tiering S. Min Kun Wu Mert Hidayetoğlu Jinjun Xiong Xiang Song Wen-mei W. Hwu GNN 27 15 0 10 Nov 2021
GNNear: Accelerating Full-Batch Training of Graph Neural Networks with Near-Memory Processing Zhe Zhou Cong Li Xuechao Wei Xiaoyang Wang Guangyu Sun GNN 22 24 0 01 Nov 2021
MG-GCN: Scalable Multi-GPU GCN Training Framework M. F. Balin Kaan Sancak Ümit V. Çatalyürek GNN 39 7 0 17 Oct 2021
Distributed Optimization of Graph Convolutional Network using Subgraph Variance Taige Zhao Xiangyu Song Jianxin Li Wei Luo Imran Razzak GNN 38 9 0 06 Oct 2021
Context-aware Tree-based Deep Model for Recommender Systems Daqing Chang Jintao Liu Xinhang Li Han Li Ziru Xu Xiaoqiang Zhu 42 3 0 22 Sep 2021
Efficient Scaling of Dynamic Graph Neural Networks Venkatesan T. Chakaravarthy Shivmaran S. Pandian S. Raje Yogish Sabharwal Toyotaro Suzumura Shashanka Ubaru GNN 39 22 0 16 Sep 2021
ETA Prediction with Graph Neural Networks in Google Maps Austin Derrow-Pinion Jennifer She David Wong O. Lange Todd Hester ... Ang Li Zhongwen Xu Alvaro Sanchez-Gonzalez Yujia Li Petar Velivcković AI4TS 27 226 0 25 Aug 2021
Graph Attention MLP with Reliable Label Utilization Wentao Zhang Ziqi Yin Zeang Sheng Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Bin Cui GNN 29 3 0 23 Aug 2021
AdaGNN: A multi-modal latent representation meta-learner for GNNs based on AdaBoosting Qinyi Zhu Yiou Xiao AI4CE 45 3 0 14 Aug 2021
Pairing Conceptual Modeling with Machine Learning W. Maass V. Storey HAI 27 33 0 27 Jun 2021
Reimagining GNN Explanations with ideas from Tabular Data Anjali Singh K. ShamanthRNayak Balaji Ganesan LMTD 28 1 0 23 Jun 2021
Large-Scale Network Embedding in Apache Spark Wenqing Lin GNN 34 17 0 20 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Matthias Fey J. E. Lenssen F. Weichert J. Leskovec GNN 20 133 0 10 Jun 2021
Motif Prediction with Graph Neural Networks Maciej Besta Raphael Grob Cesare Miglioli Nico Bernold Grzegorz Kwa'sniewski ... Raghavendra Kanakagiri Saleh Ashkboos Lukas Gianinazzi Nikoli Dryden Torsten Hoefler 26 38 0 26 May 2021
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads John Thorpe Yifan Qiao Jon Eyolfson Shen Teng Guanzhou Hu ... Jinliang Wei Keval Vora Ravi Netravali Miryung Kim G. Xu GNN 22 140 0 24 May 2021
GNNIE: GNN Inference Engine with Load-balancing and Graph-Specific Caching Sudipta Mondal Susmita Dey Manasi K. Kunal S. Ramprasath S. Sapatnekar GNN 6 15 0 21 May 2021
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems Weijian Zheng Dali Wang Fengguang Song GNN OffRL AI4CE 20 1 0 18 May 2021
Scalable Graph Neural Network Training: The Case for Sampling Marco Serafini Hui Guan GNN 41 23 0 05 May 2021
Billion-scale Pre-trained E-commerce Product Knowledge Graph Model Wen Zhang Chi-Man Wong Ganqiang Ye Bo Wen Wei Zhang Huajun Chen 16 21 0 02 May 2021
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph Chi-Man Wong Fan Feng Wen Zhang Chi-Man Vong Hui Chen Yichi Zhang Peng He Hua-Ni Chen Kun Zhao Huajun Chen HAI 29 26 0 30 Apr 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy Yongchao Liu Houyi Li Guowei Zhang Xintan Zeng Yongyong Li ... Peng Zhang Zhao Li Kefeng Deng Changhua He Wenguang Chen GNN 49 11 0 21 Apr 2021
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Bin Cui 27 9 0 20 Apr 2021
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models Benedek Rozemberczki P. Scherer Yixuan He G. Panagopoulos Alexander Riedel ... Oliver Kiss Ferenc Béres Guzmán López Nicolas Collignon Rik Sarkar AI4CE 29 199 0 15 Apr 2021
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks Vasimuddin Sanchit Misra Guixiang Ma Ramanarayan Mohanty E. Georganas A. Heinecke Dhiraj D. Kalamkar Nesreen Ahmed Sasikanth Avancha GNN 33 119 0 14 Apr 2021
AutoGL: A Library for Automated Graph Learning Ziwei Zhang Yijian Qin Zeyang Zhang Chaoyu Guan Jie Cai ... Beini Xie Yang Yao Yipeng Zhang Xin Eric Wang Wenwu Zhu 29 30 0 11 Apr 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 29 100 0 10 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 19 16 0 01 Mar 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Eric Wang Wenwu Zhu 19 85 0 01 Mar 2021
Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks Peng Jiang Masuma Akter Rumi GNN 22 7 0 19 Jan 2021
Utilising Graph Machine Learning within Drug Discovery and Development Thomas Gaudelet Ben Day Arian R. Jamasb Jyothish Soman Cristian Regep ... Jian Tang D. Roblin Tom L. Blundell M. Bronstein J. Taylor-King AI4CE 29 36 0 09 Dec 2020
Distributed Training of Graph Convolutional Networks using Subgraph Approximation Alexandra Angerd Keshav Balasubramanian M. Annavaram GNN 23 8 0 09 Dec 2020
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs Da Zheng Chao Ma Minjie Wang Jinjing Zhou Qidong Su Xiang Song Quan Gan Zheng-Wei Zhang George Karypis FedML GNN 27 243 0 11 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 41 225 0 30 Sep 2020