Update README.md

README.md

@@ -4,5 +4,67 @@ tags:
 - graphs
 ---
 
+# Model Card for pcqm4mv1_graphormer_base
+
 The Graphormer is a graph classification model.
-The checkpoint here has been pretrained on PCQM4Mv2.
+
+# Model Details
+
+## Model Description
+
+The Graphormer is a graph Transformer model, pretrained on PCQM4M-LSCv2.
+
+
+- **Developed by:** Microsoft
+- **Model type:** Graphormer
+- **License:** MIT
+
+## Model Sources
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [Github](https://github.com/microsoft/Graphormer)
+- **Paper:** [Paper](https://arxiv.org/abs/2106.05234)
+- **Documentation:** [Link](https://graphormer.readthedocs.io/en/latest/)
+
+# Uses
+
+## Direct Use
+
+This model should be used for graph classification tasks or graph representation tasks; the most likely associated task is molecule modeling. It can either be used as such, or finetuned on downstream tasks.
+
+# Bias, Risks, and Limitations
+
+The Graphormer model is ressource intensive for large graphs, and might lead to OOM errors.
+
+## How to Get Started with the Model
+
+See the Graph Classification with Transformers tutorial.
+
+# Citation [optional]
+
+<!-- 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
+               Shengjie Luo and
+               Shuxin Zheng and
+               Guolin Ke and
+               Di He and
+               Yanming Shen and
+               Tie{-}Yan Liu},
+  title     = {Do Transformers Really Perform Bad for Graph Representation?},
+  journal   = {CoRR},
+  volume    = {abs/2106.05234},
+  year      = {2021},
+  url       = {https://arxiv.org/abs/2106.05234},
+  eprinttype = {arXiv},
+  eprint    = {2106.05234},
+  timestamp = {Tue, 15 Jun 2021 16:35:15 +0200},
+  biburl    = {https://dblp.org/rec/journals/corr/abs-2106-05234.bib},
+  bibsource = {dblp computer science bibliography, https://dblp.org}
+}
+```