Research map / Label-efficient and robust learning / Semi-supervised learning
Semi-supervisedly Co-embedding Attributed Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use SCAN_DIS instead of the strongest listed baseline | Semi-supervised node classification · Pubmed | Ma_F1: .841 -> .850 | Helped |
| Use SCAN_DIS instead of the strongest listed baseline | Semi-supervised node classification · Pubmed | Mi_F1: .847 -> .858 | Helped |
| Use SCAN_DIS instead of the strongest listed baseline | Semi-supervised node classification · Pubmed | ACC: .850 -> .862 | Helped |
| Use SCAN_DIS instead of the strongest listed baseline | Semi-supervised node classification · Flickr | Ma_F1: .738 -> .749 | Helped |
| Use SCAN_DIS instead of the strongest listed baseline | Semi-supervised node classification · Flickr | Mi_F1: .748 -> .753 | Helped |
| Use SCAN_DIS instead of the strongest listed baseline | Semi-supervised node classification · Flickr | ACC: .741 -> .750 | Helped |
| Use SCAN_DIS instead of the strongest listed baseline | Semi-supervised node classification · BlogCatalog | Ma_F1: .803 -> .829 | Helped |
| Use SCAN_DIS instead of the strongest listed baseline | Semi-supervised node classification · BlogCatalog | Mi_F1: .811 -> .832 | Helped |
| Use SCAN_DIS instead of the strongest listed baseline | Semi-supervised node classification · BlogCatalog | ACC: .817 -> .839 | Helped |
| Co-embed nodes and attributes with SCAN | Attribute inference · Pubmed | AUC: .670 -> .713 | Helped |
| Co-embed nodes and attributes with SCAN | Attribute inference · Pubmed | AP: .652 -> .682 | Helped |
| Co-embed nodes and attributes with SCAN | Attribute inference · Flickr | AUC: .867 -> .874 | Helped |
Closest papers by meaning
- DGE: Deep Generative Network Embedding Based on Commonality and Individuality (AAAI 2020 · similarity 0.87)
- SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation (AAAI 2020 · similarity 0.87)
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020 · similarity 0.87)
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019 · similarity 0.86)
- Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning (AAAI 2020 · similarity 0.86)
- Learning by Association -- A Versatile Semi-Supervised Training Method for Neural Networks (CVPR 2017 · similarity 0.86)
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