Who Cited It

Semi-Supervised Classification with Graph Convolutional Networks

2016 · arXiv (Cornell University) · 8,058 citations · 14 from inside this corpus

Thomas Kipf, Max Welling

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.

Semi-Supervised Classification with Graph Convolutional Networks (2016)Semi-Supervised Classificatio…[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics… (2015)[No title in the source recor…Dropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…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…Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex… (2006)Manifold Regularization: A Ge…Transductive Inference for Text Classification using Support Vector Machines (1999)Transductive Inference for Te…Toward an Architecture for Never-Ending Language Learning (2010)Toward an Architecture for Ne…A new model for learning in graph domains (2006)A new model for learning in g…Modeling Relational Data with Graph Convolutional Networks (2018)Modeling Relational Data with…Heterogeneous Graph Attention Network (2019)Heterogeneous Graph Attention…Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning (2018)Deeper Insights Into Graph Co…A survey on semi-supervised learning (2019)A survey on semi-supervised l…Convolutional 2D Knowledge Graph Embeddings (2018)Convolutional 2D Knowledge Gr…Graph Convolutional Networks for Text Classification (2019)Graph Convolutional Networks …Graph convolutional networks: a comprehensive review (2019)Graph convolutional networks:…Hypergraph Neural Networks (2019)Hypergraph Neural NetworksUnsupervised Data Augmentation for Consistency Training (2019)Unsupervised Data Augmentatio…A survey on deep learning and its applications (2021)A survey on deep learning and…Heterogeneous Graph Neural Network (2019)Heterogeneous Graph Neural Ne…Pre-trained models for natural language processing: A survey (2020)Pre-trained models for natura…Heterogeneous Graph Transformer (2020)Heterogeneous Graph Transform…DeepGCNs: Can GCNs Go As Deep As CNNs? (2019)DeepGCNs: Can GCNs Go As Deep…
22 of 22 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
[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…201550,396
Dropout: a simple way to prevent neural networks from overfitting201434,236
The Graph Neural Network Model20089,662
Convolutional Neural Networks On Graphs With Fast Localized Spectral Filtering (Netsci-X'…20165,118
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…20063,266
Transductive Inference for Text Classification using Support Vector Machines19992,721
Toward an Architecture for Never-Ending Language Learning20101,996
A new model for learning in graph domains20061,944

What cites it, inside the corpus

PaperYearCited
Modeling Relational Data with Graph Convolutional Networks20185,233
Heterogeneous Graph Attention Network20192,999
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning20182,652
A survey on semi-supervised learning20192,636
Convolutional 2D Knowledge Graph Embeddings20182,467
Graph Convolutional Networks for Text Classification20192,000
Graph convolutional networks: a comprehensive review20191,877
Hypergraph Neural Networks20191,720
Unsupervised Data Augmentation for Consistency Training20191,624
A survey on deep learning and its applications20211,548
Heterogeneous Graph Neural Network20191,532
Pre-trained models for natural language processing: A survey20201,521
Heterogeneous Graph Transformer20201,432
DeepGCNs: Can GCNs Go As Deep As CNNs?20191,380

Links

DOI · Open access copy · OpenAlex record

Topics

Advanced Graph Neural NetworksComputer Science
Domain Adaptation and Few-Shot LearningComputer Science
Text and Document Classification TechnologiesComputer Science

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports22 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 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…