Who Cited It

Hypergraph Neural Networks

2019 · Proceedings of the AAAI Conference on Artificial Intelligence · 1,720 citations · 2 from inside this corpus

Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao

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.

Hypergraph Neural Networks (2019)Hypergraph Neural NetworksAdam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…Dropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-… (2025)Detecting Functionality-Speci…The Graph Neural Network Model (2008)The Graph Neural Network ModelDeepWalk (2014)DeepWalkGraph Attention Networks (2017)Graph Attention NetworksSemi-Supervised Classification with Graph Convolutional Networks (2016)Semi-Supervised Classificatio…Spectral Networks and Locally Connected Networks on Graphs (2013)Spectral Networks and Locally…A new model for learning in graph domains (2006)A new model for learning in g…Graph neural networks: A review of methods and applications (2020)Graph neural networks: A revi…Graph Neural Networks: A Review of Methods and Applications (2018)Graph Neural Networks: A Revi…
11 of 11 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
Dropout: a simple way to prevent neural networks from overfitting201434,236
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-…202516,314
The Graph Neural Network Model20089,662
DeepWalk20148,670
Graph Attention Networks20178,400
Semi-Supervised Classification with Graph Convolutional Networks20168,058
Spectral Networks and Locally Connected Networks on Graphs20132,726
A new model for learning in graph domains20061,944

What cites it, inside the corpus

PaperYearCited
Graph neural networks: A review of methods and applications20205,808
Graph Neural Networks: A Review of Methods and Applications20181,448

Links

DOI · Open access copy · OpenAlex record

Topics

Advanced Graph Neural NetworksComputer Science
Brain Tumor Detection and ClassificationNeuroscience
Advanced Computing and AlgorithmsSocial Sciences

Is this record sound?

complete

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

  • supports5 author record(s) attached.
  • supports43 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 2026-09-04T03:58:53+00:00.

sha256 db1645b78a57e29a…