Deep Learning on Graphs: A Survey

Ziwei Zhang; Peng Cui; Wenwu Zhu

doi:https://doi.org/10.1109/tkde.2020.2981333

Deep Learning on Graphs: A Survey

2020 · IEEE Transactions on Knowledge and Data Engineering · 1,560 citations · 2 from inside this corpus

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

24 of 24 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

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Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

A survey on deep learning and its applications→Deep Learning on Graphs: A SurveyLegacy edge — source detail unavailable
Graph Neural Networks: A Review of Methods and Applications→Deep Learning on Graphs: A SurveyLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Long Short-Term MemoryLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Learning representations by back-propagating errorsLegacy 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→The Elements of Statistical Learning: Data Mining, Inference, and PredictionLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→A Comprehensive Survey on Graph Neural NetworksLegacy 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→Mastering the game of Go without human knowledgeLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→DeepWalkLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Graph neural networks: A review of methods and applicationsLegacy 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→LINELegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Heterogeneous Graph Attention NetworkLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Structural Deep Network EmbeddingLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Graph Convolutional Neural Networks for Web-Scale Recommender SystemsLegacy 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→Relational inductive biases, deep learning, and graph 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→Graph convolutional networks: a comprehensive reviewLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Graph Signal Processing: Overview, Challenges, and ApplicationsLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→An End-to-End Deep Learning Architecture for Graph ClassificationLegacy edge — source detail unavailable
LINE→DeepWalkLegacy 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
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
Structural Deep Network Embedding→LINELegacy edge — source detail unavailable
Structural Deep Network Embedding→DeepWalkLegacy edge — source detail unavailable
Structural Deep Network Embedding→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
Modeling Relational Data with Graph Convolutional Networks→The Graph Neural Network ModelLegacy edge — source detail unavailable
An End-to-End Deep Learning Architecture for Graph Classification→The Graph Neural Network ModelLegacy edge — source detail unavailable
Graph Signal Processing: Overview, Challenges, and Applications→DeepWalkLegacy 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→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
Relational inductive biases, deep learning, and graph networks→The Graph Neural Network ModelLegacy edge — source detail unavailable
Graph Convolutional Neural Networks for Web-Scale Recommender Systems→The Graph Neural Network ModelLegacy edge — source detail unavailable
Graph Convolutional Neural Networks for Web-Scale Recommender Systems→DeepWalkLegacy 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→Long Short-Term MemoryLegacy 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→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→Structural Deep Network EmbeddingLegacy 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→An End-to-End Deep Learning Architecture for Graph ClassificationLegacy 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→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→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→LINELegacy 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→DeepWalkLegacy 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→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→Structural Deep Network EmbeddingLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→Graph Convolutional Neural Networks for Web-Scale Recommender SystemsLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→Heterogeneous Graph Attention NetworkLegacy edge — source detail unavailable
Heterogeneous Graph Attention Network→A new model for learning in graph domainsLegacy edge — source detail unavailable
Heterogeneous Graph Attention Network→LINELegacy edge — source detail unavailable
Heterogeneous Graph Attention Network→The Graph Neural Network ModelLegacy edge — source detail unavailable
Heterogeneous Graph Attention Network→DeepWalkLegacy edge — source detail unavailable
Heterogeneous Graph Attention Network→Structural Deep Network EmbeddingLegacy edge — source detail unavailable
Heterogeneous Graph Attention Network→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning→DeepWalkLegacy 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→DeepWalkLegacy edge — source detail unavailable
Graph convolutional networks: a comprehensive review→Graph Convolutional Neural Networks for Web-Scale Recommender SystemsLegacy edge — source detail unavailable
Graph convolutional networks: a comprehensive review→Graph Neural Networks: A Review of Methods and ApplicationsLegacy edge — source detail unavailable
Graph convolutional networks: a comprehensive review→A Comprehensive Survey on Graph Neural NetworksLegacy edge — source detail unavailable
Graph convolutional networks: a comprehensive review→Deeper Insights Into Graph Convolutional Networks for Semi-Supervised LearningLegacy edge — source detail unavailable
A survey on deep learning and its applications→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
A survey on deep learning and its applications→Graph Convolutional Neural Networks for Web-Scale Recommender SystemsLegacy edge — source detail unavailable
A survey on deep learning and its applications→Graph Neural Networks: A Review of Methods and ApplicationsLegacy 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→Long Short-Term MemoryLegacy 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→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→Modeling Relational Data with Graph Convolutional NetworksLegacy 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
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→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→Graph convolutional networks: a comprehensive reviewLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Long Short-Term Memory	1997	101,359
Dropout: a simple way to prevent neural networks from overfitting	2014	34,236
Learning representations by back-propagating errors	1986	31,688
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…	2014	25,048
The Elements of Statistical Learning: Data Mining, Inference, and Prediction	2010	12,807
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…	2012	10,399
A Comprehensive Survey on Graph Neural Networks	2020	9,855
The Graph Neural Network Model	2008	9,662
Mastering the game of Go without human knowledge	2017	9,313
DeepWalk	2014	8,670
Graph neural networks: A review of methods and applications	2020	5,808
Modeling Relational Data with Graph Convolutional Networks	2018	5,233
LINE	2015	4,752
Heterogeneous Graph Attention Network	2019	2,999
Structural Deep Network Embedding	2016	2,843
Graph Convolutional Neural Networks for Web-Scale Recommender Systems	2018	2,836
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning	2018	2,652
Relational inductive biases, deep learning, and graph networks	2018	2,406
A new model for learning in graph domains	2006	1,944
Graph convolutional networks: a comprehensive review	2019	1,877
Graph Signal Processing: Overview, Challenges, and Applications	2018	1,817
An End-to-End Deep Learning Architecture for Graph Classification	2018	1,519

What cites it, inside the corpus

Paper	Year	Cited
A survey on deep learning and its applications	2021	1,548
Graph Neural Networks: A Review of Methods and Applications	2018	1,448

Links

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Topics

Advanced Graph Neural Networks	Computer Science
Complex Network Analysis Techniques	Physics and Astronomy
Graph Theory and Algorithms	Computer Science

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complete

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supports3 author record(s) attached.
supports183 reference(s) recorded.
supportsThe DOI's year agrees with the publication year.
supportsA title is present.

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