Who Cited It

An End-to-End Deep Learning Architecture for Graph Classification

2018 · Proceedings of the AAAI Conference on Artificial Intelligence · 1,519 citations · 4 from inside this corpus

Muhan Zhang low, Zhicheng Cui low, Marion Neumann low, Yixin Chen

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.

An End-to-End Deep Learning Architecture for Graph Classification (2018)An End-to-End Deep Learning A…Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…Efficient Estimation of Word Representations in Vector Space (2013)Efficient Estimation of Word …Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-… (2025)Detecting Functionality-Speci…Libsvm : A library for support vector machines (2008)Libsvm : A library for suppor…The Graph Neural Network Model (2008)The Graph Neural Network ModelConvolutional Neural Networks On Graphs With Fast Localized Spectral Filtering (Netsci-X'… (2016)Convolutional Neural Networks…Spectral Networks and Locally Connected Networks on Graphs (2013)Spectral Networks and Locally…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…A Comprehensive Survey on Graph Neural Networks (2020)A Comprehensive Survey on Gra…Deep Learning on Graphs: A Survey (2020)Deep Learning on Graphs: A Su…Graph Neural Networks: A Review of Methods and Applications (2018)Graph Neural Networks: A Revi…
12 of 12 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.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Adam: A Method for Stochastic Optimization201484,698
Efficient Estimation of Word Representations in Vector Space201318,186
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-…202516,314
Libsvm : A library for support vector machines200810,140
The Graph Neural Network Model20089,662
Convolutional Neural Networks On Graphs With Fast Localized Spectral Filtering (Netsci-X'…20165,118
Spectral Networks and Locally Connected Networks on Graphs20132,726
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
A Comprehensive Survey on Graph Neural Networks20203,307
Deep Learning on Graphs: A Survey20201,560
Graph Neural Networks: A Review of Methods and Applications20181,448

Links

DOI · Open access copy · OpenAlex record

Topics

Advanced Graph Neural NetworksComputer Science
Big Data and Digital EconomyComputer Science
Graph Theory and AlgorithmsComputer Science

Is this record sound?

complete

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

  • supports4 author record(s) attached.
  • supports53 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 2026-09-04T03:58:58+00:00.

sha256 88a60cdbb94c6a13…