Github user vasia commented on a diff in the pull request:

    https://github.com/apache/flink/pull/2984#discussion_r91908249
  
    --- Diff: docs/dev/libs/gelly/bipartite_graph.md ---
    @@ -0,0 +1,148 @@
    +---
    +title: Graph Generators
    +nav-parent_id: graphs
    +nav-pos: 6
    +---
    +<!--
    +Licensed to the Apache Software Foundation (ASF) under one
    +or more contributor license agreements.  See the NOTICE file
    +distributed with this work for additional information
    +regarding copyright ownership.  The ASF licenses this file
    +to you under the Apache License, Version 2.0 (the
    +"License"); you may not use this file except in compliance
    +with the License.  You may obtain a copy of the License at
    +
    +  http://www.apache.org/licenses/LICENSE-2.0
    +
    +Unless required by applicable law or agreed to in writing,
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    +specific language governing permissions and limitations
    +under the License.
    +-->
    +
    +* This will be replaced by the TOC
    +{:toc}
    +
    +Bipartite Graph
    +---------------
    +
    +A bipartite graph (also called a two-mode graph) is a type of graph where 
vertices are separated into two disjoint sets. These sets are usually called 
top and bottom vertices. A single edge in this graph can only connect vertices 
from opposite sets (i.e. bottom vertex to top vertex) and cannot connect to 
vertices in the same set.
    +
    +Theses graphs have wide application in practice and can be a more natural 
choice for particular domains. For example to represent authorship of 
scientific papers top vertices can represent scientific papers while bottom 
nodes will represent authors. Naturally a node between a top and a bottom nodes 
would represent an authorship of a particular scientific paper. Another common 
example for applications of bipartite graphs is a relationships between actors 
and movies. In this case an edge represents that a particular actor played in a 
movie.
    +
    +Bipartite graph are used instead of regular graphs (one-mode) for the 
following practical 
[reasons](http://www.complexnetworks.fr/wp-content/uploads/2011/01/socnet07.pdf):
    + * They preserve more information about a connection between vertices. For 
example instead of a single link between two researchers in a graph that 
represents that they authored a paper together a bipartite graph preserve the 
information about what papers they authored
    + * Bipartite graph can encode the same information more compactly than 
one-mode graphs
    + 
    +
    +
    +Graph Representation
    +--------------------
    +
    +A `BipartiteGraph` is represented by:
    + * `DataSet` of top nodes
    + * `DataSet` of bottom nodes
    + * `DataSet` of edges between top and bottom nodes
    +
    +As in the `Graph` class nodes are represented by the `Vertex` type and the 
same rules applies to its types and values.
    +
    +The graph edges are represented by the `BipartiteEdge` type. An 
`BipartiteEdge` is defined by a top ID (the ID of the top `Vertex`), a bottom 
ID (the ID of the bottom `Vertex`) and an optional value. The main difference 
between the `Edge` and `BipartiteEdge` is that IDs of nodes it links can be of 
different types. Edges with no value have a `NullValue` value type.
    --- End diff --
    
    *A BipartiteEdge


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