# Advanced Graph Neural Networks

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/advanced-graph-neural-networks-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 562,712 |
| Description | This cluster of papers focuses on the development, applications, and techniques related to Graph Neural Networks (GNNs) and their variants. It covers topics such as knowledge graph embedding, representation learning, network embedding, deep learning, graph convolutional networks, heterogeneous networks, relational data modeling, signal processing on graphs, and semi-supervised learning. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T11273 |
| Works | 59,776 |

## Topic researchers

Showing 12 of 20.

- [Yoshua Bengio](https://scholariq.org/researchers/yoshua-bengio/)
- [Kieron Burke](https://scholariq.org/researchers/kieron-burke/)
- [Yann LeCun](https://scholariq.org/researchers/yann-lecun/)
- [H. Eugene Stanley](https://scholariq.org/researchers/h-eugene-stanley/)
- [Michael I. Jordan](https://scholariq.org/researchers/michael-i-jordan/)
- [Christopher D. Manning](https://scholariq.org/researchers/christopher-d-manning/)
- [Oriol Vinyals](https://scholariq.org/researchers/oriol-vinyals/)
- [Bernhard Schölkopf](https://scholariq.org/researchers/bernhard-scholkopf/)
- [Huan Liu](https://scholariq.org/researchers/huan-liu/)
- [Steve Horvath](https://scholariq.org/researchers/steve-horvath/)
- [Richard Socher](https://scholariq.org/researchers/richard-socher/)
- [Philip S. Yu](https://scholariq.org/researchers/philip-s-yu/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.
