update

model_cards/article.md

@@ -11,7 +11,7 @@
 **Seed**: The random seed used for initialization.
 
 
-# Model card - MoLeR
+# Model card
 
 **Model Details**: MoLeR is a graph-based molecular generative model that can be conditioned (primed) on scaffolds. The model decorates scaffolds with realistic structural motifs.
 

model_cards/description.md

@@ -1,6 +1,6 @@
 <img align="right" src="https://raw.githubusercontent.com/GT4SD/gt4sd-core/main/docs/_static/gt4sd_logo.png" alt="logo" width="120" >
 
-This model is provided and distributed by the **GT4SD** (Generative Toolkit for Scientific Discovery).
+MoLeR (Maziarz et al., (2022), *ICLR*) is a graph-based molecular generative model that can be conditioned (primed) on scaffolds. This model r is provided and distributed by the **GT4SD** (Generative Toolkit for Scientific Discovery).
 
 For **examples** and **documentation** of the model parameters, please see below.
-Moreover, we provide **model cards** ([Mitchell et al. (2019)](https://dl.acm.org/doi/abs/10.1145/3287560.3287596?casa_token=XD4eHiE2cRUAAAAA:NL11gMa1hGPOUKTAbtXnbVQBDBbjxwcjGECF_i-WC_3g1aBgU1Hbz_f2b4kI_m1in-w__1ztGeHnwHs)) with details of the model at the bottom of this page.
+Moreover, we provide a **model card** ([Mitchell et al. (2019)](https://dl.acm.org/doi/abs/10.1145/3287560.3287596?casa_token=XD4eHiE2cRUAAAAA:NL11gMa1hGPOUKTAbtXnbVQBDBbjxwcjGECF_i-WC_3g1aBgU1Hbz_f2b4kI_m1in-w__1ztGeHnwHs)) at the bottom of this page.