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Graph neural networks (GNNs) have extended the success of deep neural networks (DNNs) to non-Euclidean graph data, achieving ground-breaking performance on various tasks such as node classification and graph property prediction.
An Efficient Heuristic Procedure for Partitioning Graphs
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Parallelized Stochastic Gradient Descent
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Adam: A Method for Stochastic Optimization
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TensorFlow: A System for Large-Scale Machine Learning
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Protein Interface Prediction using Graph Convolutional Networks
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Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach
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Representation learning on graphs: Methods and applications
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Inductive Representation Learning on Large Graphs
William L. Hamilton, Zhitao Ying, and Jure Leskovec · 2017
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A distributed multi-gpu system for fast graph processing
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Semi-Supervised Classification with Graph Convolutional Networks
Thomas N. Kipf and Max Welling · 2017
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Streaming Graph Partitioning: An Experimental Study
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FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen, Tengfei Ma, and Cao Xiao · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
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Adaptive Sampling Towards Fast Graph Representation Learning
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Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander J. Smola, and Zheng Zhang · 2019
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A Comprehensive Survey on Graph Neural Networks
Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, and Philip S. Yu · 2019
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AliGraph: A Comprehensive Graph Neural Network Platform
Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, and Jingren Zhou · 2019
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https://github.com/dmlc/dgl , 2020
Deep Graph Library (DGL) · 2020
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https://github.com/alibaba/euler , 2020
Euler · 2020
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Wen-bing Huang, Tong Zhang, Yu Rong, and Junzhou Huang · 2018
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Graph Attention Networks
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Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
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Graph Convolutional Neural Networks for Web-Scale Recommender Systems
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Link Prediction Based on Graph Neural Networks
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Deep Learning on Graphs: A Survey
Ziwei Zhang, Peng Cui, and Wenwu Zhu · 2018
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Graph Neural Networks: A Review of Methods and Applications
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https://ogb.stanford.edu/docs/leader_nodeprop/ , 2020
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Improving the Accuracy, Scalability, and Performance of Graph Neural Networks with Roc
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PaGraph: Scaling GNN Training on Large Graphs via Computation-Aware Caching
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GraphSAINT: Graph Sampling Based Inductive Learning Method
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AGL: A Scalable System for Industrial-Purpose Graph Machine Learning
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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 Zhang, and George Karypis · 2020
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https://aws.amazon.com/ec2/instance-types/ , 2021
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