[Minor][Doc] Add GraphAr logo to README (#197)

Signed-off-by: acezen <[email protected]>

.github/workflows/docs.yml

@@ -71,7 +71,7 @@ jobs:
           popd
 
       - name: Preview using surge
-        if: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name == 'alibaba/GraphAr' && github.repository == 'alibaba/GraphAr' }}
+        if: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name == 'alibaba/GraphAr' }}
         run: |
           npm install -g surge
           surge ./docs/_build/html \

README.rst

@@ -1,9 +1,13 @@
-GraphAr
-========
+.. raw:: html
 
-|GraphAr CI| |Docs CI| |GraphAr Docs| |Good First Issue|
+    <h1 align="center" style="clear: both;">
+        <img src="https://alibaba.github.io/GraphAr/_images/graphar-logo.svg" width="350" alt="GraphAr">
+    </h1>
+    <p align="center">
+        An open source, standard data file format for graph data storage and retrieval
+    </p>
 
-Welcome to GraphAr (short for "Graph Archive"), an open source, standardized file format for graph data storage and retrieval.
+|GraphAr CI| |Docs CI| |GraphAr Docs| |Good First Issue|
 
 📢 Join our `Weekly Community Meeting`_ to learn more about GraphAr and get involved!
 
@@ -23,7 +27,7 @@ Graph processing serves as the essential building block for a diverse variety of
 real-world applications such as social network analytics, data mining, network routing,
 and scientific computing.
 
-GraphAr is a project that aims to make it easier for diverse applications and
+GraphAr (short for "Graph Archive") is a project that aims to make it easier for diverse applications and
 systems (in-memory and out-of-core storages, databases, graph computing systems, and interactive graph query frameworks)
 to build and access graph data conveniently and efficiently.
 

docs/conf.py

@@ -111,7 +111,8 @@
     './.nojekyll',
 ]
 
-html_title = 'GraphAr'
+html_title = "GraphAr"
+html_favicon = "images/graphar.ico"
 
 html_show_copyright= True
 html_show_sphinx = False