Update README.md

README.md

@@ -15,17 +15,17 @@ The Graphormer is a graph classification model.
 The Graphormer is a graph Transformer model, pretrained on PCQM4M-LSC, and which got 1st place on the KDD CUP 2021 (quantum prediction track).
 
 
-- **Developed by:** [Microsoft]
-- **Model type:** [Graphormer]
-- **License:** [MIT]
+- **Developed by:** Microsoft
+- **Model type:** Graphormer
+- **License:** MIT
 
 ## Model Sources [optional]
 
 <!-- Provide the basic links for the model. -->
 
-- **Repository:** [https://github.com/microsoft/Graphormer]
-- **Paper:** [https://arxiv.org/abs/2106.05234]
-- **Documentation:** [https://graphormer.readthedocs.io/en/latest/]
+- **Repository:** [Github](https://github.com/microsoft/Graphormer)
+- **Paper:** [Paper](https://arxiv.org/abs/2106.05234)
+- **Documentation:** [Link](https://graphormer.readthedocs.io/en/latest/)
 
 # Uses
 
@@ -46,7 +46,7 @@ See the Graph Classification with Transformers tutorial.
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
 
 **BibTeX:**
-
+```
 @article{DBLP:journals/corr/abs-2106-05234,
   author    = {Chengxuan Ying and
                Tianle Cai and
@@ -67,4 +67,4 @@ See the Graph Classification with Transformers tutorial.
   biburl    = {https://dblp.org/rec/journals/corr/abs-2106-05234.bib},
   bibsource = {dblp computer science bibliography, https://dblp.org}
 }
-
+```