# A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-review-of-graph-neural-networks-concepts-architectures-techniques-challenges/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Bharti Khemani,Shruti Patil,Ketan Kotecha,Sudeep Tanwar |
| Citations | 534 |
| DOI | 10.1186/s40537-023-00876-4 |
| Fields | Computer Science,Physics and Astronomy |
| Open Access | true |
| OA Status | gold |
| OA URL | https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00876-4 |
| OpenAlex ID | https://openalex.org/W4390906246 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Ketan Kotecha](https://scholariq.org/researchers/ketan-kotecha/)

## Paper primary topic

- [Advanced Graph Neural Networks](https://scholariq.org/topics/advanced-graph-neural-networks/)

## Paper topics

- [Advanced Graph Neural Networks](https://scholariq.org/topics/advanced-graph-neural-networks/)
- [Graph Theory and Algorithms](https://scholariq.org/topics/graph-theory-and-algorithms/)
- [Complex Network Analysis Techniques](https://scholariq.org/topics/complex-network-analysis-techniques/)

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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.