Who Cited It

Graph Convolutional Networks for Text Classification

2019 · Proceedings of the AAAI Conference on Artificial Intelligence · 2,000 citations · 4 from inside this corpus

Liang Yao, Chengsheng Mao, Yuan Luo

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.

Graph Convolutional Networks for Text Classification (2019)Graph Convolutional Networks …Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…Glove: Global Vectors for Word Representation (2014)Glove: Global Vectors for Wor…Distributed Representations of Words and Phrases and their Compositionality (2013)Distributed Representations o…Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-… (2025)Detecting Functionality-Speci…Convolutional Neural Networks for Sentence Classification (2014)Convolutional Neural Networks…Graph Attention Networks (2017)Graph Attention NetworksSemi-Supervised Classification with Graph Convolutional Networks (2016)Semi-Supervised Classificatio…Distributed Representations of Sentences and Documents (2014)Distributed Representations o…Convolutional Neural Networks On Graphs With Fast Localized Spectral Filtering (Netsci-X'… (2016)Convolutional Neural Networks…Hierarchical Attention Networks for Document Classification (2016)Hierarchical Attention Networ…Character-level Convolutional Networks for Text Classification (2015)Character-level Convolutional…Spectral Networks and Locally Connected Networks on Graphs (2013)Spectral Networks and Locally…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, …Attention-based LSTM for Aspect-level Sentiment Classification (2016)Attention-based LSTM for Aspe…A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications (2018)A Comprehensive Survey of Gra…Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering (2016)Convolutional Neural Networks…Graph neural networks: A review of methods and applications (2020)Graph neural networks: A revi…Graph convolutional networks: a comprehensive review (2019)Graph convolutional networks:…Deep Learning--based Text Classification (2021)Deep Learning--based Text Cla…Graph Neural Networks: A Review of Methods and Applications (2018)
21 of 21 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
Adam: A Method for Stochastic Optimization201484,698
Glove: Global Vectors for Word Representation201434,067
Distributed Representations of Words and Phrases and their Compositionality201318,054
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-…202516,314
Convolutional Neural Networks for Sentence Classification201413,987
Graph Attention Networks20178,400
Semi-Supervised Classification with Graph Convolutional Networks20168,058
Distributed Representations of Sentences and Documents20145,121
Convolutional Neural Networks On Graphs With Fast Localized Spectral Filtering (Netsci-X'…20165,118
Hierarchical Attention Networks for Document Classification20164,871
Character-level Convolutional Networks for Text Classification20153,280
Spectral Networks and Locally Connected Networks on Graphs20132,726
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning20182,652
Relational inductive biases, deep learning, and graph networks20182,406
Attention-based LSTM for Aspect-level Sentiment Classification20162,380
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications20182,076
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering20161,703

What cites it, inside the corpus

PaperYearCited
Graph neural networks: A review of methods and applications20205,808
Graph convolutional networks: a comprehensive review20191,877
Deep Learning--based Text Classification20211,525
Graph Neural Networks: A Review of Methods and Applications20181,448

Links

DOI · Open access copy · OpenAlex record

Topics

Topic ModelingComputer Science
Text and Document Classification TechnologiesComputer Science
Advanced Text Analysis TechniquesComputer Science

Is this record sound?

complete

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

  • supports3 author record(s) attached.
  • supports61 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:51+00:00.

sha256 6e314d9c6052d1ed…