# Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/contrastive-and-generative-graph-convolutional-networks-for-graph-based-semi/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sheng Wan,Shirui Pan,Jian Yang,Chen Gong |
| Citations | 151 |
| DOI | 10.1609/aaai.v35i11.17206 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://ojs.aaai.org/index.php/AAAI/article/download/17206/17013 |
| OpenAlex ID | https://openalex.org/W3173292968 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Chen Gong](https://scholariq.org/researchers/chen-gong/)

## Paper primary topic

- [Text and Document Classification Technologies](https://scholariq.org/topics/text-and-document-classification-technologies/)

## Paper topics

- [Text and Document Classification Technologies](https://scholariq.org/topics/text-and-document-classification-technologies/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Advanced Computing and Algorithms](https://scholariq.org/topics/advanced-computing-and-algorithms/)

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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.