# ProNE: Fast and Scalable Network Representation Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/prone-fast-and-scalable-network-representation-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jie Zhang,Yuxiao Dong,Yan Wang,Jie Tang,Ming Ding |
| Citations | 179 |
| DOI | 10.24963/ijcai.2019/594 |
| Fields | Computer Science,Physics and Astronomy,Psychology |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.ijcai.org/proceedings/2019/0594.pdf |
| OpenAlex ID | https://openalex.org/W2966694634 |
| Type | conference-paper |
| Year | 2019 |

## Paper authors

- [Ming Ding](https://scholariq.org/researchers/ming-ding/)

## 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/)
- [Complex Network Analysis Techniques](https://scholariq.org/topics/complex-network-analysis-techniques/)
- [Mental Health via Writing](https://scholariq.org/topics/mental-health-via-writing/)

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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.