TuckER model trained with a relation prediction objective on top of the 1vsAll loss

**CS-GAN** is a type of generative adversarial network that uses a form of deep compressed sensing, and [latent optimisation](https://paperswithcode.com/method/latent-optimisation), to improve the quality of generated samples.

CS-GAN

Deep Compressed Sensing

TuckER-RP

Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations

**Inception-B** is an image model block used in the [Inception-v4](https://paperswithcode.com/method/inception-v4) architecture.

Source	Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
Year	2000
Data Source	CC BY-SA - https://paperswithcode.com