Graph neural networks: A review of methods and applications

Jie Zhou; Ganqu Cui; Shengding Hu; Zhengyan Zhang; Cheng Yang; Zhiyuan Liu; Lifeng Wang; Changcheng Li; Maosong Sun

doi:https://doi.org/10.1016/j.aiopen.2021.01.001

Graph neural networks: A review of methods and applications

2020 · AI Open · 5,808 citations · 1 from inside this corpus

Jie Zhou, Ganqu Cui, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun

Lots of learning tasks require dealing with graph data which contains rich relation information among elements. Modeling physics systems, learning molecular fingerprints, predicting protein interface, and classifying diseases demand a model to learn from graph inputs. In other domains such as learning from non-structural data like texts and images, reasoning on extracted structures (like the dependency trees of sentences and the scene graphs of images) is an important research topic which also needs graph reasoning models. Graph neural networks (GNNs) are neural models that capture the dependence of graphs via message passing between the nodes of graphs. In recent years, variants of GNNs such as graph convolutional network (GCN), graph attention network (GAT), graph recurrent network (GRN) have demonstrated ground-breaking performances on many deep learning tasks. In this survey, we propose a general design pipeline for GNN models and discuss the variants of each component, systematically categorize the applications, and propose four open problems for future research.

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Deep Learning on Graphs: A Survey→Graph neural networks: A review of methods and applicationsLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Long Short-Term MemoryLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…Legacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→A Wavelet Tour of Signal ProcessingLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-…Legacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Efficient Estimation of Word Representations in Vector SpaceLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→The Graph Neural Network ModelLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Attention Is All You NeedLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Translating Embeddings for Modeling Multi-relational DataLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Formal Semantics for Kolmogorov-Arnold Network Representations of Operational GamesLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→A Comprehensive Survey on Graph Neural NetworksLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Heterogeneous Graph Attention NetworkLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Deeper Insights Into Graph Convolutional Networks for Semi-Supervised LearningLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Convolutional 2D Knowledge Graph EmbeddingsLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Relational inductive biases, deep learning, and graph networksLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→A Comprehensive Survey of Graph Embedding: Problems, Techniques, and ApplicationsLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Graph Convolutional Networks for Text ClassificationLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→A new model for learning in graph domainsLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→PathSimLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Graph convolutional networks: a comprehensive reviewLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Graph embedding techniques, applications, and performance: A surveyLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic\n ForecastingLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Hypergraph Neural NetworksLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Reasoning With Neural Tensor Networks for Knowledge Base CompletionLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Heterogeneous Graph Neural NetworkLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→An End-to-End Deep Learning Architecture for Graph ClassificationLegacy edge — source detail unavailable
The Graph Neural Network Model→A new model for learning in graph domainsLegacy edge — source detail unavailable
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…→Long Short-Term MemoryLegacy edge — source detail unavailable
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering→A Wavelet Tour of Signal ProcessingLegacy edge — source detail unavailable
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering→Efficient Estimation of Word Representations in Vector SpaceLegacy edge — source detail unavailable
Modeling Relational Data with Graph Convolutional Networks→The Graph Neural Network ModelLegacy edge — source detail unavailable
Modeling Relational Data with Graph Convolutional Networks→Reasoning With Neural Tensor Networks for Knowledge Base CompletionLegacy edge — source detail unavailable
Modeling Relational Data with Graph Convolutional Networks→Translating Embeddings for Modeling Multi-relational DataLegacy edge — source detail unavailable
Modeling Relational Data with Graph Convolutional Networks→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Modeling Relational Data with Graph Convolutional Networks→Convolutional 2D Knowledge Graph EmbeddingsLegacy edge — source detail unavailable
Graph embedding techniques, applications, and performance: A survey→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Graph embedding techniques, applications, and performance: A survey→Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-…Legacy edge — source detail unavailable
Convolutional 2D Knowledge Graph Embeddings→Translating Embeddings for Modeling Multi-relational DataLegacy edge — source detail unavailable
Convolutional 2D Knowledge Graph Embeddings→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Convolutional 2D Knowledge Graph Embeddings→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
Convolutional 2D Knowledge Graph Embeddings→Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-…Legacy edge — source detail unavailable
An End-to-End Deep Learning Architecture for Graph Classification→The Graph Neural Network ModelLegacy edge — source detail unavailable
An End-to-End Deep Learning Architecture for Graph Classification→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
An End-to-End Deep Learning Architecture for Graph Classification→Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-…Legacy edge — source detail unavailable
Relational inductive biases, deep learning, and graph networks→A new model for learning in graph domainsLegacy edge — source detail unavailable
Relational inductive biases, deep learning, and graph networks→The Graph Neural Network ModelLegacy edge — source detail unavailable
Relational inductive biases, deep learning, and graph networks→Translating Embeddings for Modeling Multi-relational DataLegacy edge — source detail unavailable
Relational inductive biases, deep learning, and graph networks→Attention Is All You NeedLegacy edge — source detail unavailable
Hypergraph Neural Networks→A new model for learning in graph domainsLegacy edge — source detail unavailable
Hypergraph Neural Networks→The Graph Neural Network ModelLegacy edge — source detail unavailable
Hypergraph Neural Networks→Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-…Legacy edge — source detail unavailable
Heterogeneous Graph Attention Network→PathSimLegacy edge — source detail unavailable
Heterogeneous Graph Attention Network→A new model for learning in graph domainsLegacy edge — source detail unavailable
Heterogeneous Graph Attention Network→The Graph Neural Network ModelLegacy edge — source detail unavailable
Heterogeneous Graph Attention Network→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Heterogeneous Graph Attention Network→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
Graph Convolutional Networks for Text Classification→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Graph Convolutional Networks for Text Classification→Relational inductive biases, deep learning, and graph networksLegacy edge — source detail unavailable
Graph Convolutional Networks for Text Classification→A Comprehensive Survey of Graph Embedding: Problems, Techniques, and ApplicationsLegacy edge — source detail unavailable
Graph Convolutional Networks for Text Classification→Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-…Legacy edge — source detail unavailable
Graph Convolutional Networks for Text Classification→Deeper Insights Into Graph Convolutional Networks for Semi-Supervised LearningLegacy edge — source detail unavailable
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications→Long Short-Term MemoryLegacy edge — source detail unavailable
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications→The Graph Neural Network ModelLegacy edge — source detail unavailable
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications→Reasoning With Neural Tensor Networks for Knowledge Base CompletionLegacy edge — source detail unavailable
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications→Translating Embeddings for Modeling Multi-relational DataLegacy edge — source detail unavailable
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications→Graph embedding techniques, applications, and performance: A surveyLegacy edge — source detail unavailable
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications→Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-…Legacy edge — source detail unavailable
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning→Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-…Legacy edge — source detail unavailable
Heterogeneous Graph Neural Network→PathSimLegacy edge — source detail unavailable
Heterogeneous Graph Neural Network→Long Short-Term MemoryLegacy edge — source detail unavailable
Heterogeneous Graph Neural Network→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
Graph convolutional networks: a comprehensive review→The Graph Neural Network ModelLegacy edge — source detail unavailable
Graph convolutional networks: a comprehensive review→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Graph convolutional networks: a comprehensive review→Graph embedding techniques, applications, and performance: A surveyLegacy edge — source detail unavailable
Graph convolutional networks: a comprehensive review→Graph Convolutional Networks for Text ClassificationLegacy edge — source detail unavailable
Graph convolutional networks: a comprehensive review→A Comprehensive Survey of Graph Embedding: Problems, Techniques, and ApplicationsLegacy edge — source detail unavailable
Graph convolutional networks: a comprehensive review→Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic\n ForecastingLegacy edge — source detail unavailable
Graph convolutional networks: a comprehensive review→Deeper Insights Into Graph Convolutional Networks for Semi-Supervised LearningLegacy edge — source detail unavailable
Graph convolutional networks: a comprehensive review→A Comprehensive Survey on Graph Neural NetworksLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→A new model for learning in graph domainsLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Long Short-Term MemoryLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→The Graph Neural Network ModelLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→An End-to-End Deep Learning Architecture for Graph ClassificationLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Relational inductive biases, deep learning, and graph networksLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Heterogeneous Graph Attention NetworkLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Deeper Insights Into Graph Convolutional Networks for Semi-Supervised LearningLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Graph convolutional networks: a comprehensive reviewLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→A new model for learning in graph domainsLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→Long Short-Term MemoryLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→The Graph Neural Network ModelLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→Graph embedding techniques, applications, and performance: A surveyLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→An End-to-End Deep Learning Architecture for Graph ClassificationLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→Relational inductive biases, deep learning, and graph networksLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→Heterogeneous Graph Attention NetworkLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→Formal Semantics for Kolmogorov-Arnold Network Representations of Operational GamesLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→A Comprehensive Survey of Graph Embedding: Problems, Techniques, and ApplicationsLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic\n ForecastingLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-…Legacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→Deeper Insights Into Graph Convolutional Networks for Semi-Supervised LearningLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Long Short-Term Memory	1997	101,359
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…	2018	46,036
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2019	33,416
Reinforcement Learning: An Introduction	2005	25,758
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…	2014	25,048
A Wavelet Tour of Signal Processing	1999	16,470
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-…	2025	16,314
Efficient Estimation of Word Representations in Vector Space	2013	11,714
The Graph Neural Network Model	2008	9,662
Reinforcement Learning: An Introduction	2000	8,702
Attention Is All You Need	2025	7,133
Modeling Relational Data with Graph Convolutional Networks	2018	5,233
Translating Embeddings for Modeling Multi-relational Data	2013	5,188
Formal Semantics for Kolmogorov-Arnold Network Representations of Operational Games	2025	3,533
A Comprehensive Survey on Graph Neural Networks	2020	3,307
Heterogeneous Graph Attention Network	2019	2,999
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning	2018	2,652
Convolutional 2D Knowledge Graph Embeddings	2018	2,467
Relational inductive biases, deep learning, and graph networks	2018	2,406
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications	2018	2,076
Graph Convolutional Networks for Text Classification	2019	2,000
A new model for learning in graph domains	2006	1,944
PathSim	2011	1,928
Graph convolutional networks: a comprehensive review	2019	1,877
Graph embedding techniques, applications, and performance: A survey	2018	1,844
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic\n Forecasting	2017	1,817
Hypergraph Neural Networks	2019	1,720
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	1,703
Reasoning With Neural Tensor Networks for Knowledge Base Completion	2013	1,665
Heterogeneous Graph Neural Network	2019	1,532
An End-to-End Deep Learning Architecture for Graph Classification	2018	1,519

What cites it, inside the corpus

Paper	Year	Cited
Deep Learning on Graphs: A Survey	2020	1,560

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Topics

Advanced Graph Neural Networks	Computer Science
Topic Modeling	Computer Science
Graph Theory and Algorithms	Computer Science

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