Who Cited It

Deep Learning on Graphs: A Survey

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

Ziwei Zhang, Peng Cui, Wenwu Zhu

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.

Deep Learning on Graphs: A Survey (2020)Deep Learning on Graphs: A Su…Long Short-Term Memory (1997)Long Short-Term MemoryDropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…Learning representations by back-propagating errors (1986)Learning representations by b…Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla… (2014)Learning Phrase Representatio…The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2010)The Elements of Statistical L…Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou… (2012)Deep Neural Networks for Acou…A Comprehensive Survey on Graph Neural Networks (2020)A Comprehensive Survey on Gra…The Graph Neural Network Model (2008)The Graph Neural Network ModelMastering the game of Go without human knowledge (2017)Mastering the game of Go with…DeepWalk (2014)DeepWalkGraph neural networks: A review of methods and applications (2020)Graph neural networks: A revi…Modeling Relational Data with Graph Convolutional Networks (2018)Modeling Relational Data with…LINE (2015)LINEHeterogeneous Graph Attention Network (2019)Heterogeneous Graph Attention…Structural Deep Network Embedding (2016)Structural Deep Network Embed…Graph Convolutional Neural Networks for Web-Scale Recommender Systems (2018)Graph Convolutional Neural Ne…Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning (2018)Deeper Insights Into Graph Co…Relational inductive biases, deep learning, and graph networks (2018)Relational inductive biases, …A new model for learning in graph domains (2006)A new model for learning in g…Graph convolutional networks: a comprehensive review (2019)Graph convolutional networks:…Graph Signal Processing: Overview, Challenges, and Applications (2018)Graph Signal Processing: Over…An End-to-End Deep Learning Architecture for Graph Classification (2018)An End-to-End Deep Learning A…A survey on deep learning and its applications (2021)A survey on deep learning and…Graph Neural Networks: A Review of Methods and Applications (2018)Graph Neural Networks: A Revi…
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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What this paper cites, inside the corpus

PaperYearCited
Long Short-Term Memory1997101,359
Dropout: a simple way to prevent neural networks from overfitting201434,236
Learning representations by back-propagating errors198631,688
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…201425,048
The Elements of Statistical Learning: Data Mining, Inference, and Prediction201012,807
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…201210,399
A Comprehensive Survey on Graph Neural Networks20209,855
The Graph Neural Network Model20089,662
Mastering the game of Go without human knowledge20179,313
DeepWalk20148,670
Graph neural networks: A review of methods and applications20205,808
Modeling Relational Data with Graph Convolutional Networks20185,233
LINE20154,752
Heterogeneous Graph Attention Network20192,999
Structural Deep Network Embedding20162,843
Graph Convolutional Neural Networks for Web-Scale Recommender Systems20182,836
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning20182,652
Relational inductive biases, deep learning, and graph networks20182,406
A new model for learning in graph domains20061,944
Graph convolutional networks: a comprehensive review20191,877
Graph Signal Processing: Overview, Challenges, and Applications20181,817
An End-to-End Deep Learning Architecture for Graph Classification20181,519

What cites it, inside the corpus

PaperYearCited
A survey on deep learning and its applications20211,548
Graph Neural Networks: A Review of Methods and Applications20181,448

Links

DOI · OpenAlex record

Topics

Advanced Graph Neural NetworksComputer Science
Complex Network Analysis TechniquesPhysics and Astronomy
Graph Theory and AlgorithmsComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

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

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:57+00:00.

sha256 b3024609427ad450…