clean up docs

docs/source/advanced/data_proc.rst

-Advanced Data Preprocessing
-===========================
-
-.. note::
-    详细介绍一下StarryGL几种数据管理类，例如GraphData，的使用细节，内部索引结构的设计和底层操作。
\ No newline at end of file

docs/source/advanced/partition_parallel/index.rst

 Distributed Partition Parallel
 Distributed Partition Parallel
 ==============================
 ==============================
 
 
-.. note::
-    分布式分区并行训练部分
-
-
-
 The **distributed partition parallel** refers to the process of partitioning a large graph into
 The **distributed partition parallel** refers to the process of partitioning a large graph into
 multiple partitions and distributing them to different workers. Each worker is responsible for training
 multiple partitions and distributing them to different workers. Each worker is responsible for training
 a specific partition in parallel. The data is exchanged across different partitions.
 a specific partition in parallel. The data is exchanged across different partitions.

docs/source/advanced/pp_training.rst

-Distributed Partition Parallel
-==============================
-
-.. note::
-    分布式分区并行训练部分
\ No newline at end of file

docs/source/advanced/sampling_parallel/index.rst

 Distributed Sampling Parallel
 Distributed Sampling Parallel
 =============================
 =============================
 
 
-.. note::
-    基于分布式时序图采样的训练模式
-
 .. toctree::
 .. toctree::
     sampler
     sampler
     features
     features

docs/source/advanced/timeline_parallel/index.rst

 Distributed Timeline Parallel
 Distributed Timeline Parallel
 =============================
 =============================
 
 
-.. note::
-    分布式时序并行
-
 The timeline parallel means each node in the graph performs independent computation
 The timeline parallel means each node in the graph performs independent computation
 since each node has its own independent timeline. This parallel approach emphasizes that the timelines of each node are
 since each node has its own independent timeline. This parallel approach emphasizes that the timelines of each node are
 independent and may span multiple machines or processes, and nodes may not immediately synchronize or communicate with each other.
 independent and may span multiple machines or processes, and nodes may not immediately synchronize or communicate with each other.

docs/source/advanced/tp_training.rst

-Distributed Timeline Parallel
-=============================
-
-.. note::
-    分布式时序并行
\ No newline at end of file

docs/source/advanced/ts_sampling.rst

-Distributed Temporal Sampling
-=============================
-
-.. note::
-    基于分布式时序图采样的训练模式
\ No newline at end of file

docs/source/api/python/distributed.rst

 starrygl.distributed
 starrygl.distributed
 ====================
 ====================
 
 
-.. note::
-    自动生辰的api文档，需要在starrygl源代码目录里添加码内注释
-
 .. currentmodule:: starrygl.distributed
 .. currentmodule:: starrygl.distributed
 
 
 .. autosummary::
 .. autosummary::

docs/source/guide/index.rst

@@ -4,4 +4,3 @@ Get Started
 .. toctree::
 .. toctree::
 
 
     install_guide
     install_guide
-    intro_example
\ No newline at end of file

docs/source/index.rst

@@ -9,8 +9,6 @@ StarryGL Documentation
    tutorial/index
    tutorial/index
    advanced/index
    advanced/index
    api/python/index
    api/python/index
-   cheatsheets/index
-   external/index
 
 
 .. Indices and tables
 .. Indices and tables
 .. ==================
 .. ==================