Who Cited It

Convolutional Neural Networks On Graphs With Fast Localized Spectral Filtering (Netsci-X'17)

2016 · Figshare · 5,118 citations · 12 from inside this corpus

Michaël Defferrard

Lecture at the EPFL master course A Network Tour of Data Science (https://github.com/mdeff/ntds_2016).

Convolutional Neural Networks On Graphs With Fast Localized Spectral Filtering (Netsci-X'… (2016)Convolutional Neural Networks…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 …The Graph Neural Network Model (2008)The Graph Neural Network ModelSemi-Supervised Classification with Graph Convolutional Networks (2016)Semi-Supervised Classificatio…A Comprehensive Survey on Graph Neural Networks (2020)A Comprehensive Survey on Gra…Heterogeneous Graph Attention Network (2019)Heterogeneous Graph Attention…Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Graph WaveNet for Deep Spatia…Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning (2018)Deeper Insights Into Graph Co…Convolutional 2D Knowledge Graph Embeddings (2018)Convolutional 2D Knowledge Gr…A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications (2018)A Comprehensive Survey of Gra…Graph Convolutional Networks for Text Classification (2019)Graph Convolutional Networks …Graph embedding techniques, applications, and performance: A survey (2018)Graph embedding techniques, a…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…Graph Neural Networks: A Review of Methods and Applications (2018)Graph Neural Networks: A Revi…
15 of 15 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
The Graph Neural Network Model20089,662

What cites it, inside the corpus

PaperYearCited
Semi-Supervised Classification with Graph Convolutional Networks20168,058
A Comprehensive Survey on Graph Neural Networks20203,307
Heterogeneous Graph Attention Network20192,999
Graph WaveNet for Deep Spatial-Temporal Graph Modeling20192,884
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning20182,652
Convolutional 2D Knowledge Graph Embeddings20182,467
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications20182,076
Graph Convolutional Networks for Text Classification20192,000
Graph embedding techniques, applications, and performance: A survey20181,844
Graph Signal Processing: Overview, Challenges, and Applications20181,817
An End-to-End Deep Learning Architecture for Graph Classification20181,519
Graph Neural Networks: A Review of Methods and Applications20181,448

Links

DOI · Open access copy · OpenAlex record

Topics

Advanced Graph Neural NetworksComputer Science
Face and Expression RecognitionComputer Science
Neural Networks and ApplicationsComputer Science

Is this record sound?

complete

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

  • supports1 author record(s) attached.
  • supports26 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 2026-09-04T03:58:44+00:00.

sha256 648f8491aaceaa34…